A sequencing model for a team of aircraft landing on the carrier
Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the c...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wu, Yu [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
|---|
| Schlagwörter: |
|---|
| Umfang: |
16 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience - Baysal, Birol ELSEVIER, 2015, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:54 ; year:2016 ; pages:72-87 ; extent:16 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ast.2016.04.007 |
|---|
| Katalog-ID: |
ELV02477460X |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV02477460X | ||
| 003 | DE-627 | ||
| 005 | 20230625143446.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 180603s2016 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.ast.2016.04.007 |2 doi | |
| 028 | 5 | 2 | |a GBVA2016019000009.pica |
| 035 | |a (DE-627)ELV02477460X | ||
| 035 | |a (ELSEVIER)S1270-9638(16)30137-7 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | |a 620 | |
| 082 | 0 | 4 | |a 620 |q DE-600 |
| 082 | 0 | 4 | |a 610 |q VZ |
| 082 | 0 | 4 | |a 600 |a 670 |q VZ |
| 084 | |a 51.00 |2 bkl | ||
| 100 | 1 | |a Wu, Yu |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a A sequencing model for a team of aircraft landing on the carrier |
| 264 | 1 | |c 2016transfer abstract | |
| 300 | |a 16 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier. | ||
| 520 | |a Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier. | ||
| 650 | 7 | |a Landing sequence |2 Elsevier | |
| 650 | 7 | |a Failed to land aircraft |2 Elsevier | |
| 650 | 7 | |a Landing time consumption |2 Elsevier | |
| 650 | 7 | |a Landing a team of aircraft |2 Elsevier | |
| 650 | 7 | |a Sequencing problem |2 Elsevier | |
| 700 | 1 | |a Sun, Liguo |4 oth | |
| 700 | 1 | |a Qu, Xiangju |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Baysal, Birol ELSEVIER |t Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience |d 2015 |g Amsterdam [u.a.] |w (DE-627)ELV013466232 |
| 773 | 1 | 8 | |g volume:54 |g year:2016 |g pages:72-87 |g extent:16 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.ast.2016.04.007 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a GBV_ILN_40 | ||
| 936 | b | k | |a 51.00 |j Werkstoffkunde: Allgemeines |q VZ |
| 951 | |a AR | ||
| 952 | |d 54 |j 2016 |h 72-87 |g 16 | ||
| 953 | |2 045F |a 620 | ||
| author_variant |
y w yw |
|---|---|
| matchkey_str |
wuyusunliguoquxiangju:2016----:sqecnmdloaemficatad |
| hierarchy_sort_str |
2016transfer abstract |
| bklnumber |
51.00 |
| publishDate |
2016 |
| allfields |
10.1016/j.ast.2016.04.007 doi GBVA2016019000009.pica (DE-627)ELV02477460X (ELSEVIER)S1270-9638(16)30137-7 DE-627 ger DE-627 rakwb eng 620 620 DE-600 610 VZ 600 670 VZ 51.00 bkl Wu, Yu verfasserin aut A sequencing model for a team of aircraft landing on the carrier 2016transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier. Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier. Landing sequence Elsevier Failed to land aircraft Elsevier Landing time consumption Elsevier Landing a team of aircraft Elsevier Sequencing problem Elsevier Sun, Liguo oth Qu, Xiangju oth Enthalten in Elsevier Science Baysal, Birol ELSEVIER Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience 2015 Amsterdam [u.a.] (DE-627)ELV013466232 volume:54 year:2016 pages:72-87 extent:16 https://doi.org/10.1016/j.ast.2016.04.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ AR 54 2016 72-87 16 045F 620 |
| spelling |
10.1016/j.ast.2016.04.007 doi GBVA2016019000009.pica (DE-627)ELV02477460X (ELSEVIER)S1270-9638(16)30137-7 DE-627 ger DE-627 rakwb eng 620 620 DE-600 610 VZ 600 670 VZ 51.00 bkl Wu, Yu verfasserin aut A sequencing model for a team of aircraft landing on the carrier 2016transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier. Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier. Landing sequence Elsevier Failed to land aircraft Elsevier Landing time consumption Elsevier Landing a team of aircraft Elsevier Sequencing problem Elsevier Sun, Liguo oth Qu, Xiangju oth Enthalten in Elsevier Science Baysal, Birol ELSEVIER Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience 2015 Amsterdam [u.a.] (DE-627)ELV013466232 volume:54 year:2016 pages:72-87 extent:16 https://doi.org/10.1016/j.ast.2016.04.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ AR 54 2016 72-87 16 045F 620 |
| allfields_unstemmed |
10.1016/j.ast.2016.04.007 doi GBVA2016019000009.pica (DE-627)ELV02477460X (ELSEVIER)S1270-9638(16)30137-7 DE-627 ger DE-627 rakwb eng 620 620 DE-600 610 VZ 600 670 VZ 51.00 bkl Wu, Yu verfasserin aut A sequencing model for a team of aircraft landing on the carrier 2016transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier. Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier. Landing sequence Elsevier Failed to land aircraft Elsevier Landing time consumption Elsevier Landing a team of aircraft Elsevier Sequencing problem Elsevier Sun, Liguo oth Qu, Xiangju oth Enthalten in Elsevier Science Baysal, Birol ELSEVIER Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience 2015 Amsterdam [u.a.] (DE-627)ELV013466232 volume:54 year:2016 pages:72-87 extent:16 https://doi.org/10.1016/j.ast.2016.04.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ AR 54 2016 72-87 16 045F 620 |
| allfieldsGer |
10.1016/j.ast.2016.04.007 doi GBVA2016019000009.pica (DE-627)ELV02477460X (ELSEVIER)S1270-9638(16)30137-7 DE-627 ger DE-627 rakwb eng 620 620 DE-600 610 VZ 600 670 VZ 51.00 bkl Wu, Yu verfasserin aut A sequencing model for a team of aircraft landing on the carrier 2016transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier. Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier. Landing sequence Elsevier Failed to land aircraft Elsevier Landing time consumption Elsevier Landing a team of aircraft Elsevier Sequencing problem Elsevier Sun, Liguo oth Qu, Xiangju oth Enthalten in Elsevier Science Baysal, Birol ELSEVIER Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience 2015 Amsterdam [u.a.] (DE-627)ELV013466232 volume:54 year:2016 pages:72-87 extent:16 https://doi.org/10.1016/j.ast.2016.04.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ AR 54 2016 72-87 16 045F 620 |
| allfieldsSound |
10.1016/j.ast.2016.04.007 doi GBVA2016019000009.pica (DE-627)ELV02477460X (ELSEVIER)S1270-9638(16)30137-7 DE-627 ger DE-627 rakwb eng 620 620 DE-600 610 VZ 600 670 VZ 51.00 bkl Wu, Yu verfasserin aut A sequencing model for a team of aircraft landing on the carrier 2016transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier. Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier. Landing sequence Elsevier Failed to land aircraft Elsevier Landing time consumption Elsevier Landing a team of aircraft Elsevier Sequencing problem Elsevier Sun, Liguo oth Qu, Xiangju oth Enthalten in Elsevier Science Baysal, Birol ELSEVIER Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience 2015 Amsterdam [u.a.] (DE-627)ELV013466232 volume:54 year:2016 pages:72-87 extent:16 https://doi.org/10.1016/j.ast.2016.04.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ AR 54 2016 72-87 16 045F 620 |
| language |
English |
| source |
Enthalten in Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience Amsterdam [u.a.] volume:54 year:2016 pages:72-87 extent:16 |
| sourceStr |
Enthalten in Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience Amsterdam [u.a.] volume:54 year:2016 pages:72-87 extent:16 |
| format_phy_str_mv |
Article |
| bklname |
Werkstoffkunde: Allgemeines |
| institution |
findex.gbv.de |
| topic_facet |
Landing sequence Failed to land aircraft Landing time consumption Landing a team of aircraft Sequencing problem |
| dewey-raw |
620 |
| isfreeaccess_bool |
false |
| container_title |
Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience |
| authorswithroles_txt_mv |
Wu, Yu @@aut@@ Sun, Liguo @@oth@@ Qu, Xiangju @@oth@@ |
| publishDateDaySort_date |
2016-01-01T00:00:00Z |
| hierarchy_top_id |
ELV013466232 |
| dewey-sort |
3620 |
| id |
ELV02477460X |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV02477460X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625143446.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ast.2016.04.007</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2016019000009.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV02477460X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1270-9638(16)30137-7</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">620</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">600</subfield><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">51.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wu, Yu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A sequencing model for a team of aircraft landing on the carrier</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">16</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Landing sequence</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Failed to land aircraft</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Landing time consumption</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Landing a team of aircraft</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Sequencing problem</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sun, Liguo</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Qu, Xiangju</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Baysal, Birol ELSEVIER</subfield><subfield code="t">Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience</subfield><subfield code="d">2015</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV013466232</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:54</subfield><subfield code="g">year:2016</subfield><subfield code="g">pages:72-87</subfield><subfield code="g">extent:16</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ast.2016.04.007</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.00</subfield><subfield code="j">Werkstoffkunde: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">54</subfield><subfield code="j">2016</subfield><subfield code="h">72-87</subfield><subfield code="g">16</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">620</subfield></datafield></record></collection>
|
| author |
Wu, Yu |
| spellingShingle |
Wu, Yu ddc 620 ddc 610 ddc 600 bkl 51.00 Elsevier Landing sequence Elsevier Failed to land aircraft Elsevier Landing time consumption Elsevier Landing a team of aircraft Elsevier Sequencing problem A sequencing model for a team of aircraft landing on the carrier |
| authorStr |
Wu, Yu |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV013466232 |
| format |
electronic Article |
| dewey-ones |
620 - Engineering & allied operations 610 - Medicine & health 600 - Technology 670 - Manufacturing |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
620 620 DE-600 610 VZ 600 670 VZ 51.00 bkl A sequencing model for a team of aircraft landing on the carrier Landing sequence Elsevier Failed to land aircraft Elsevier Landing time consumption Elsevier Landing a team of aircraft Elsevier Sequencing problem Elsevier |
| topic |
ddc 620 ddc 610 ddc 600 bkl 51.00 Elsevier Landing sequence Elsevier Failed to land aircraft Elsevier Landing time consumption Elsevier Landing a team of aircraft Elsevier Sequencing problem |
| topic_unstemmed |
ddc 620 ddc 610 ddc 600 bkl 51.00 Elsevier Landing sequence Elsevier Failed to land aircraft Elsevier Landing time consumption Elsevier Landing a team of aircraft Elsevier Sequencing problem |
| topic_browse |
ddc 620 ddc 610 ddc 600 bkl 51.00 Elsevier Landing sequence Elsevier Failed to land aircraft Elsevier Landing time consumption Elsevier Landing a team of aircraft Elsevier Sequencing problem |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
l s ls x q xq |
| hierarchy_parent_title |
Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience |
| hierarchy_parent_id |
ELV013466232 |
| dewey-tens |
620 - Engineering 610 - Medicine & health 600 - Technology 670 - Manufacturing |
| hierarchy_top_title |
Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV013466232 |
| title |
A sequencing model for a team of aircraft landing on the carrier |
| ctrlnum |
(DE-627)ELV02477460X (ELSEVIER)S1270-9638(16)30137-7 |
| title_full |
A sequencing model for a team of aircraft landing on the carrier |
| author_sort |
Wu, Yu |
| journal |
Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience |
| journalStr |
Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology |
| recordtype |
marc |
| publishDateSort |
2016 |
| contenttype_str_mv |
zzz |
| container_start_page |
72 |
| author_browse |
Wu, Yu |
| container_volume |
54 |
| physical |
16 |
| class |
620 620 DE-600 610 VZ 600 670 VZ 51.00 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Wu, Yu |
| doi_str_mv |
10.1016/j.ast.2016.04.007 |
| dewey-full |
620 610 600 670 |
| title_sort |
a sequencing model for a team of aircraft landing on the carrier |
| title_auth |
A sequencing model for a team of aircraft landing on the carrier |
| abstract |
Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier. |
| abstractGer |
Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier. |
| abstract_unstemmed |
Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 |
| title_short |
A sequencing model for a team of aircraft landing on the carrier |
| url |
https://doi.org/10.1016/j.ast.2016.04.007 |
| remote_bool |
true |
| author2 |
Sun, Liguo Qu, Xiangju |
| author2Str |
Sun, Liguo Qu, Xiangju |
| ppnlink |
ELV013466232 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth |
| doi_str |
10.1016/j.ast.2016.04.007 |
| up_date |
2024-07-06T22:18:37.136Z |
| _version_ |
1803869819646246912 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV02477460X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625143446.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ast.2016.04.007</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2016019000009.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV02477460X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1270-9638(16)30137-7</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">620</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">600</subfield><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">51.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wu, Yu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A sequencing model for a team of aircraft landing on the carrier</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">16</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Safety and efficiency are crucial for landing a team of aircraft in order to improve the combat capability of aircraft carrier. One way to enhance the safety and efficiency level of the landing mission is to optimize the landing sequence. It can shorten the landing time consumption and improve the capacity of deck as well as flight safety. In this paper, a modeling and sequencing approach for landing a team of aircraft is proposed. Firstly, the sequencing problem for landing a team of aircraft (SPLTA) is described by introducing each procedure of the landing mission. The traffic in the terminal area and the strategy for failed-to-land aircraft (FLA) are paid more attention because they are closely related to the SPLTA. Then the state change of a single aircraft in flight and exchanges of aircraft in the terminal area are taken into account. The overall SPLTA is formulated into an optimization problem with a cost function subjected to realistic constraints. To solve the SPLTA, a dynamic sequencing algorithm using ant colony method (DSAAC) is proposed to enable a team of aircraft to land with an optimal sequence. In the experiments, the SPLTA is solved using a “least fuel first service” (LFFS) principle based method, the ant colony optimization algorithm (ACO) based method, the static sequencing algorithm of ant colony (SSAAC) and the DSAAC. It shows that the DSAAC performs better than other three methods in minimizing the cost function and the landing time consumption. Furthermore, DSAAC guarantees a higher level of flight safety and yields an effective response to dynamic circumstance. The DSAAC approach provides an intelligent tool for overall air traffic management on aircraft carrier.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Landing sequence</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Failed to land aircraft</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Landing time consumption</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Landing a team of aircraft</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Sequencing problem</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sun, Liguo</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Qu, Xiangju</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Baysal, Birol ELSEVIER</subfield><subfield code="t">Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience</subfield><subfield code="d">2015</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV013466232</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:54</subfield><subfield code="g">year:2016</subfield><subfield code="g">pages:72-87</subfield><subfield code="g">extent:16</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ast.2016.04.007</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.00</subfield><subfield code="j">Werkstoffkunde: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">54</subfield><subfield code="j">2016</subfield><subfield code="h">72-87</subfield><subfield code="g">16</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">620</subfield></datafield></record></collection>
|
| score |
7.4013834 |