Optimizing communication satellites payload configuration with exact approaches
The satellite communications market is competitive and rapidly evolving. The payload, which is in charge of applying frequency conversion and amplification to the signals received from Earth before their retransmission, is made of various components. These include reconfigurable switches that permit...
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| Autor*in: |
Stathakis, Apostolos [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Rechteinformationen: |
Nutzungsrecht: © 2015 Taylor & Francis 2015 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Engineering optimization - London : Gordon & Breach, 1974, 47(2015), 12, Seite 1709-26 |
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| Übergeordnetes Werk: |
volume:47 ; year:2015 ; number:12 ; pages:1709-26 |
| Links: |
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| DOI / URN: |
10.1080/0305215X.2014.995176 |
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OLC1962966631 |
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| 520 | |a The satellite communications market is competitive and rapidly evolving. The payload, which is in charge of applying frequency conversion and amplification to the signals received from Earth before their retransmission, is made of various components. These include reconfigurable switches that permit the re-routing of signals based on market demand or because of some hardware failure. In order to meet modern requirements, the size and the complexity of current communication payloads are increasing significantly. Consequently, the optimal payload configuration, which was previously done manually by the engineers with the use of computerized schematics, is now becoming a difficult and time consuming task. Efficient optimization techniques are therefore required to find the optimal set(s) of switch positions to optimize some operational objective(s). In order to tackle this challenging problem for the satellite industry, this work proposes two Integer Linear Programming (ILP) models. The first one is single-objective and focuses on the minimization of the length of the longest channel path, while the second one is bi-objective and additionally aims at minimizing the number of switch changes in the payload switch matrix. Experiments are conducted on a large set of instances of realistic payload sizes using the CPLEX ® solver and two well-known exact multi-objective algorithms. Numerical results demonstrate the efficiency and limitations of the ILP approach on this real-world problem. | ||
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| 650 | 4 | |a exact optimization | |
| 650 | 4 | |a satellite payload reconfiguration | |
| 650 | 4 | |a integer linear programming | |
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| 650 | 4 | |a Experiments | |
| 650 | 4 | |a Payloads | |
| 650 | 4 | |a Matrix | |
| 650 | 4 | |a Communications satellites | |
| 650 | 4 | |a Optimization | |
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| 700 | 1 | |a Bouvry, Pascal |4 oth | |
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| 700 | 1 | |a Morelli, Gianluigi |4 oth | |
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10.1080/0305215X.2014.995176 doi PQ20160617 (DE-627)OLC1962966631 (DE-599)GBVOLC1962966631 (PRQ)c1750-b728b58349a057419b137feb097abdb8a0325720057ec019196d3b907e8a4d760 (KEY)0011445620150000047001201709optimizingcommunicationsatellitespayloadconfigurat DE-627 ger DE-627 rakwb eng 690 DNB 50.03 bkl Stathakis, Apostolos verfasserin aut Optimizing communication satellites payload configuration with exact approaches 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The satellite communications market is competitive and rapidly evolving. The payload, which is in charge of applying frequency conversion and amplification to the signals received from Earth before their retransmission, is made of various components. These include reconfigurable switches that permit the re-routing of signals based on market demand or because of some hardware failure. In order to meet modern requirements, the size and the complexity of current communication payloads are increasing significantly. Consequently, the optimal payload configuration, which was previously done manually by the engineers with the use of computerized schematics, is now becoming a difficult and time consuming task. Efficient optimization techniques are therefore required to find the optimal set(s) of switch positions to optimize some operational objective(s). In order to tackle this challenging problem for the satellite industry, this work proposes two Integer Linear Programming (ILP) models. The first one is single-objective and focuses on the minimization of the length of the longest channel path, while the second one is bi-objective and additionally aims at minimizing the number of switch changes in the payload switch matrix. Experiments are conducted on a large set of instances of realistic payload sizes using the CPLEX ® solver and two well-known exact multi-objective algorithms. Numerical results demonstrate the efficiency and limitations of the ILP approach on this real-world problem. Nutzungsrecht: © 2015 Taylor & Francis 2015 exact optimization satellite payload reconfiguration integer linear programming Algorithms Experiments Payloads Matrix Communications satellites Optimization Danoy, Grégoire oth Bouvry, Pascal oth Talbi, El-Ghazali oth Morelli, Gianluigi oth Enthalten in Engineering optimization London : Gordon & Breach, 1974 47(2015), 12, Seite 1709-26 (DE-627)129422339 (DE-600)190503-X (DE-576)014797917 0305-215X nnns volume:47 year:2015 number:12 pages:1709-26 http://dx.doi.org/10.1080/0305215X.2014.995176 Volltext http://www.tandfonline.com/doi/abs/10.1080/0305215X.2014.995176 http://search.proquest.com/docview/1719007923 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 50.03 AVZ AR 47 2015 12 1709-26 |
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10.1080/0305215X.2014.995176 doi PQ20160617 (DE-627)OLC1962966631 (DE-599)GBVOLC1962966631 (PRQ)c1750-b728b58349a057419b137feb097abdb8a0325720057ec019196d3b907e8a4d760 (KEY)0011445620150000047001201709optimizingcommunicationsatellitespayloadconfigurat DE-627 ger DE-627 rakwb eng 690 DNB 50.03 bkl Stathakis, Apostolos verfasserin aut Optimizing communication satellites payload configuration with exact approaches 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The satellite communications market is competitive and rapidly evolving. The payload, which is in charge of applying frequency conversion and amplification to the signals received from Earth before their retransmission, is made of various components. These include reconfigurable switches that permit the re-routing of signals based on market demand or because of some hardware failure. In order to meet modern requirements, the size and the complexity of current communication payloads are increasing significantly. Consequently, the optimal payload configuration, which was previously done manually by the engineers with the use of computerized schematics, is now becoming a difficult and time consuming task. Efficient optimization techniques are therefore required to find the optimal set(s) of switch positions to optimize some operational objective(s). In order to tackle this challenging problem for the satellite industry, this work proposes two Integer Linear Programming (ILP) models. The first one is single-objective and focuses on the minimization of the length of the longest channel path, while the second one is bi-objective and additionally aims at minimizing the number of switch changes in the payload switch matrix. Experiments are conducted on a large set of instances of realistic payload sizes using the CPLEX ® solver and two well-known exact multi-objective algorithms. Numerical results demonstrate the efficiency and limitations of the ILP approach on this real-world problem. Nutzungsrecht: © 2015 Taylor & Francis 2015 exact optimization satellite payload reconfiguration integer linear programming Algorithms Experiments Payloads Matrix Communications satellites Optimization Danoy, Grégoire oth Bouvry, Pascal oth Talbi, El-Ghazali oth Morelli, Gianluigi oth Enthalten in Engineering optimization London : Gordon & Breach, 1974 47(2015), 12, Seite 1709-26 (DE-627)129422339 (DE-600)190503-X (DE-576)014797917 0305-215X nnns volume:47 year:2015 number:12 pages:1709-26 http://dx.doi.org/10.1080/0305215X.2014.995176 Volltext http://www.tandfonline.com/doi/abs/10.1080/0305215X.2014.995176 http://search.proquest.com/docview/1719007923 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 50.03 AVZ AR 47 2015 12 1709-26 |
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10.1080/0305215X.2014.995176 doi PQ20160617 (DE-627)OLC1962966631 (DE-599)GBVOLC1962966631 (PRQ)c1750-b728b58349a057419b137feb097abdb8a0325720057ec019196d3b907e8a4d760 (KEY)0011445620150000047001201709optimizingcommunicationsatellitespayloadconfigurat DE-627 ger DE-627 rakwb eng 690 DNB 50.03 bkl Stathakis, Apostolos verfasserin aut Optimizing communication satellites payload configuration with exact approaches 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The satellite communications market is competitive and rapidly evolving. The payload, which is in charge of applying frequency conversion and amplification to the signals received from Earth before their retransmission, is made of various components. These include reconfigurable switches that permit the re-routing of signals based on market demand or because of some hardware failure. In order to meet modern requirements, the size and the complexity of current communication payloads are increasing significantly. Consequently, the optimal payload configuration, which was previously done manually by the engineers with the use of computerized schematics, is now becoming a difficult and time consuming task. Efficient optimization techniques are therefore required to find the optimal set(s) of switch positions to optimize some operational objective(s). In order to tackle this challenging problem for the satellite industry, this work proposes two Integer Linear Programming (ILP) models. The first one is single-objective and focuses on the minimization of the length of the longest channel path, while the second one is bi-objective and additionally aims at minimizing the number of switch changes in the payload switch matrix. Experiments are conducted on a large set of instances of realistic payload sizes using the CPLEX ® solver and two well-known exact multi-objective algorithms. Numerical results demonstrate the efficiency and limitations of the ILP approach on this real-world problem. Nutzungsrecht: © 2015 Taylor & Francis 2015 exact optimization satellite payload reconfiguration integer linear programming Algorithms Experiments Payloads Matrix Communications satellites Optimization Danoy, Grégoire oth Bouvry, Pascal oth Talbi, El-Ghazali oth Morelli, Gianluigi oth Enthalten in Engineering optimization London : Gordon & Breach, 1974 47(2015), 12, Seite 1709-26 (DE-627)129422339 (DE-600)190503-X (DE-576)014797917 0305-215X nnns volume:47 year:2015 number:12 pages:1709-26 http://dx.doi.org/10.1080/0305215X.2014.995176 Volltext http://www.tandfonline.com/doi/abs/10.1080/0305215X.2014.995176 http://search.proquest.com/docview/1719007923 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 50.03 AVZ AR 47 2015 12 1709-26 |
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10.1080/0305215X.2014.995176 doi PQ20160617 (DE-627)OLC1962966631 (DE-599)GBVOLC1962966631 (PRQ)c1750-b728b58349a057419b137feb097abdb8a0325720057ec019196d3b907e8a4d760 (KEY)0011445620150000047001201709optimizingcommunicationsatellitespayloadconfigurat DE-627 ger DE-627 rakwb eng 690 DNB 50.03 bkl Stathakis, Apostolos verfasserin aut Optimizing communication satellites payload configuration with exact approaches 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The satellite communications market is competitive and rapidly evolving. The payload, which is in charge of applying frequency conversion and amplification to the signals received from Earth before their retransmission, is made of various components. These include reconfigurable switches that permit the re-routing of signals based on market demand or because of some hardware failure. In order to meet modern requirements, the size and the complexity of current communication payloads are increasing significantly. Consequently, the optimal payload configuration, which was previously done manually by the engineers with the use of computerized schematics, is now becoming a difficult and time consuming task. Efficient optimization techniques are therefore required to find the optimal set(s) of switch positions to optimize some operational objective(s). In order to tackle this challenging problem for the satellite industry, this work proposes two Integer Linear Programming (ILP) models. The first one is single-objective and focuses on the minimization of the length of the longest channel path, while the second one is bi-objective and additionally aims at minimizing the number of switch changes in the payload switch matrix. Experiments are conducted on a large set of instances of realistic payload sizes using the CPLEX ® solver and two well-known exact multi-objective algorithms. Numerical results demonstrate the efficiency and limitations of the ILP approach on this real-world problem. Nutzungsrecht: © 2015 Taylor & Francis 2015 exact optimization satellite payload reconfiguration integer linear programming Algorithms Experiments Payloads Matrix Communications satellites Optimization Danoy, Grégoire oth Bouvry, Pascal oth Talbi, El-Ghazali oth Morelli, Gianluigi oth Enthalten in Engineering optimization London : Gordon & Breach, 1974 47(2015), 12, Seite 1709-26 (DE-627)129422339 (DE-600)190503-X (DE-576)014797917 0305-215X nnns volume:47 year:2015 number:12 pages:1709-26 http://dx.doi.org/10.1080/0305215X.2014.995176 Volltext http://www.tandfonline.com/doi/abs/10.1080/0305215X.2014.995176 http://search.proquest.com/docview/1719007923 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 50.03 AVZ AR 47 2015 12 1709-26 |
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10.1080/0305215X.2014.995176 doi PQ20160617 (DE-627)OLC1962966631 (DE-599)GBVOLC1962966631 (PRQ)c1750-b728b58349a057419b137feb097abdb8a0325720057ec019196d3b907e8a4d760 (KEY)0011445620150000047001201709optimizingcommunicationsatellitespayloadconfigurat DE-627 ger DE-627 rakwb eng 690 DNB 50.03 bkl Stathakis, Apostolos verfasserin aut Optimizing communication satellites payload configuration with exact approaches 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The satellite communications market is competitive and rapidly evolving. The payload, which is in charge of applying frequency conversion and amplification to the signals received from Earth before their retransmission, is made of various components. These include reconfigurable switches that permit the re-routing of signals based on market demand or because of some hardware failure. In order to meet modern requirements, the size and the complexity of current communication payloads are increasing significantly. Consequently, the optimal payload configuration, which was previously done manually by the engineers with the use of computerized schematics, is now becoming a difficult and time consuming task. Efficient optimization techniques are therefore required to find the optimal set(s) of switch positions to optimize some operational objective(s). In order to tackle this challenging problem for the satellite industry, this work proposes two Integer Linear Programming (ILP) models. The first one is single-objective and focuses on the minimization of the length of the longest channel path, while the second one is bi-objective and additionally aims at minimizing the number of switch changes in the payload switch matrix. Experiments are conducted on a large set of instances of realistic payload sizes using the CPLEX ® solver and two well-known exact multi-objective algorithms. Numerical results demonstrate the efficiency and limitations of the ILP approach on this real-world problem. Nutzungsrecht: © 2015 Taylor & Francis 2015 exact optimization satellite payload reconfiguration integer linear programming Algorithms Experiments Payloads Matrix Communications satellites Optimization Danoy, Grégoire oth Bouvry, Pascal oth Talbi, El-Ghazali oth Morelli, Gianluigi oth Enthalten in Engineering optimization London : Gordon & Breach, 1974 47(2015), 12, Seite 1709-26 (DE-627)129422339 (DE-600)190503-X (DE-576)014797917 0305-215X nnns volume:47 year:2015 number:12 pages:1709-26 http://dx.doi.org/10.1080/0305215X.2014.995176 Volltext http://www.tandfonline.com/doi/abs/10.1080/0305215X.2014.995176 http://search.proquest.com/docview/1719007923 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 50.03 AVZ AR 47 2015 12 1709-26 |
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The payload, which is in charge of applying frequency conversion and amplification to the signals received from Earth before their retransmission, is made of various components. These include reconfigurable switches that permit the re-routing of signals based on market demand or because of some hardware failure. In order to meet modern requirements, the size and the complexity of current communication payloads are increasing significantly. Consequently, the optimal payload configuration, which was previously done manually by the engineers with the use of computerized schematics, is now becoming a difficult and time consuming task. Efficient optimization techniques are therefore required to find the optimal set(s) of switch positions to optimize some operational objective(s). In order to tackle this challenging problem for the satellite industry, this work proposes two Integer Linear Programming (ILP) models. The first one is single-objective and focuses on the minimization of the length of the longest channel path, while the second one is bi-objective and additionally aims at minimizing the number of switch changes in the payload switch matrix. Experiments are conducted on a large set of instances of realistic payload sizes using the CPLEX ® solver and two well-known exact multi-objective algorithms. 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Optimizing communication satellites payload configuration with exact approaches |
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The satellite communications market is competitive and rapidly evolving. The payload, which is in charge of applying frequency conversion and amplification to the signals received from Earth before their retransmission, is made of various components. These include reconfigurable switches that permit the re-routing of signals based on market demand or because of some hardware failure. In order to meet modern requirements, the size and the complexity of current communication payloads are increasing significantly. Consequently, the optimal payload configuration, which was previously done manually by the engineers with the use of computerized schematics, is now becoming a difficult and time consuming task. Efficient optimization techniques are therefore required to find the optimal set(s) of switch positions to optimize some operational objective(s). In order to tackle this challenging problem for the satellite industry, this work proposes two Integer Linear Programming (ILP) models. The first one is single-objective and focuses on the minimization of the length of the longest channel path, while the second one is bi-objective and additionally aims at minimizing the number of switch changes in the payload switch matrix. Experiments are conducted on a large set of instances of realistic payload sizes using the CPLEX ® solver and two well-known exact multi-objective algorithms. Numerical results demonstrate the efficiency and limitations of the ILP approach on this real-world problem. |
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The satellite communications market is competitive and rapidly evolving. The payload, which is in charge of applying frequency conversion and amplification to the signals received from Earth before their retransmission, is made of various components. These include reconfigurable switches that permit the re-routing of signals based on market demand or because of some hardware failure. In order to meet modern requirements, the size and the complexity of current communication payloads are increasing significantly. Consequently, the optimal payload configuration, which was previously done manually by the engineers with the use of computerized schematics, is now becoming a difficult and time consuming task. Efficient optimization techniques are therefore required to find the optimal set(s) of switch positions to optimize some operational objective(s). In order to tackle this challenging problem for the satellite industry, this work proposes two Integer Linear Programming (ILP) models. The first one is single-objective and focuses on the minimization of the length of the longest channel path, while the second one is bi-objective and additionally aims at minimizing the number of switch changes in the payload switch matrix. Experiments are conducted on a large set of instances of realistic payload sizes using the CPLEX ® solver and two well-known exact multi-objective algorithms. Numerical results demonstrate the efficiency and limitations of the ILP approach on this real-world problem. |
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The satellite communications market is competitive and rapidly evolving. The payload, which is in charge of applying frequency conversion and amplification to the signals received from Earth before their retransmission, is made of various components. These include reconfigurable switches that permit the re-routing of signals based on market demand or because of some hardware failure. In order to meet modern requirements, the size and the complexity of current communication payloads are increasing significantly. Consequently, the optimal payload configuration, which was previously done manually by the engineers with the use of computerized schematics, is now becoming a difficult and time consuming task. Efficient optimization techniques are therefore required to find the optimal set(s) of switch positions to optimize some operational objective(s). In order to tackle this challenging problem for the satellite industry, this work proposes two Integer Linear Programming (ILP) models. The first one is single-objective and focuses on the minimization of the length of the longest channel path, while the second one is bi-objective and additionally aims at minimizing the number of switch changes in the payload switch matrix. Experiments are conducted on a large set of instances of realistic payload sizes using the CPLEX ® solver and two well-known exact multi-objective algorithms. Numerical results demonstrate the efficiency and limitations of the ILP approach on this real-world problem. |
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Optimizing communication satellites payload configuration with exact approaches |
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