An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses
Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant r...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mokarram, Vahid [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2018transfer abstract |
|---|
| Schlagwörter: |
|---|
| Umfang: |
19 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Atomic collapse in graphene quantum dots in a magnetic field - Eren, I. ELSEVIER, 2022, the official journal of the World Federation on Soft Computing (WFSC), Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:73 ; year:2018 ; pages:647-665 ; extent:19 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.asoc.2018.08.048 |
|---|
| Katalog-ID: |
ELV04488172X |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV04488172X | ||
| 003 | DE-627 | ||
| 005 | 20230626005921.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 181123s2018 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.asoc.2018.08.048 |2 doi | |
| 028 | 5 | 2 | |a GBV00000000000447.pica |
| 035 | |a (DE-627)ELV04488172X | ||
| 035 | |a (ELSEVIER)S1568-4946(18)30526-X | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 540 |a 530 |q VZ |
| 084 | |a 33.00 |2 bkl | ||
| 100 | 1 | |a Mokarram, Vahid |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses |
| 264 | 1 | |c 2018transfer abstract | |
| 300 | |a 19 | ||
| 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 Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions. | ||
| 520 | |a Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions. | ||
| 650 | 7 | |a DI |2 Elsevier | |
| 650 | 7 | |a IDA |2 Elsevier | |
| 650 | 7 | |a LS |2 Elsevier | |
| 650 | 7 | |a MDOF |2 Elsevier | |
| 650 | 7 | |a SDOF |2 Elsevier | |
| 650 | 7 | |a PBD |2 Elsevier | |
| 650 | 7 | |a RBF |2 Elsevier | |
| 650 | 7 | |a DOF |2 Elsevier | |
| 650 | 7 | |a MOEA |2 Elsevier | |
| 650 | 7 | |a NDP |2 Elsevier | |
| 650 | 7 | |a NTHA |2 Elsevier | |
| 650 | 7 | |a CSM |2 Elsevier | |
| 650 | 7 | |a EA |2 Elsevier | |
| 650 | 7 | |a OP |2 Elsevier | |
| 650 | 7 | |a IO |2 Elsevier | |
| 650 | 7 | |a SMRF |2 Elsevier | |
| 650 | 7 | |a NSP |2 Elsevier | |
| 650 | 7 | |a CP |2 Elsevier | |
| 650 | 7 | |a LCC |2 Elsevier | |
| 650 | 7 | |a PSO |2 Elsevier | |
| 650 | 7 | |a MOP |2 Elsevier | |
| 650 | 7 | |a PA |2 Elsevier | |
| 650 | 7 | |a RC |2 Elsevier | |
| 650 | 7 | |a FEMA |2 Elsevier | |
| 650 | 7 | |a SOP |2 Elsevier | |
| 650 | 7 | |a PH |2 Elsevier | |
| 650 | 7 | |a FC-MOPSO |2 Elsevier | |
| 650 | 7 | |a MPA |2 Elsevier | |
| 700 | 1 | |a Banan, Mohammad Reza |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Eren, I. ELSEVIER |t Atomic collapse in graphene quantum dots in a magnetic field |d 2022 |d the official journal of the World Federation on Soft Computing (WFSC) |g Amsterdam [u.a.] |w (DE-627)ELV007866305 |
| 773 | 1 | 8 | |g volume:73 |g year:2018 |g pages:647-665 |g extent:19 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.asoc.2018.08.048 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 936 | b | k | |a 33.00 |j Physik: Allgemeines |q VZ |
| 951 | |a AR | ||
| 952 | |d 73 |j 2018 |h 647-665 |g 19 | ||
| author_variant |
v m vm |
|---|---|
| matchkey_str |
mokarramvahidbananmohammadreza:2018----:nmrvdutojciepiiainprahopromneaedsgosrcueui |
| hierarchy_sort_str |
2018transfer abstract |
| bklnumber |
33.00 |
| publishDate |
2018 |
| allfields |
10.1016/j.asoc.2018.08.048 doi GBV00000000000447.pica (DE-627)ELV04488172X (ELSEVIER)S1568-4946(18)30526-X DE-627 ger DE-627 rakwb eng 540 530 VZ 33.00 bkl Mokarram, Vahid verfasserin aut An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses 2018transfer abstract 19 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions. Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions. DI Elsevier IDA Elsevier LS Elsevier MDOF Elsevier SDOF Elsevier PBD Elsevier RBF Elsevier DOF Elsevier MOEA Elsevier NDP Elsevier NTHA Elsevier CSM Elsevier EA Elsevier OP Elsevier IO Elsevier SMRF Elsevier NSP Elsevier CP Elsevier LCC Elsevier PSO Elsevier MOP Elsevier PA Elsevier RC Elsevier FEMA Elsevier SOP Elsevier PH Elsevier FC-MOPSO Elsevier MPA Elsevier Banan, Mohammad Reza oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:73 year:2018 pages:647-665 extent:19 https://doi.org/10.1016/j.asoc.2018.08.048 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 73 2018 647-665 19 |
| spelling |
10.1016/j.asoc.2018.08.048 doi GBV00000000000447.pica (DE-627)ELV04488172X (ELSEVIER)S1568-4946(18)30526-X DE-627 ger DE-627 rakwb eng 540 530 VZ 33.00 bkl Mokarram, Vahid verfasserin aut An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses 2018transfer abstract 19 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions. Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions. DI Elsevier IDA Elsevier LS Elsevier MDOF Elsevier SDOF Elsevier PBD Elsevier RBF Elsevier DOF Elsevier MOEA Elsevier NDP Elsevier NTHA Elsevier CSM Elsevier EA Elsevier OP Elsevier IO Elsevier SMRF Elsevier NSP Elsevier CP Elsevier LCC Elsevier PSO Elsevier MOP Elsevier PA Elsevier RC Elsevier FEMA Elsevier SOP Elsevier PH Elsevier FC-MOPSO Elsevier MPA Elsevier Banan, Mohammad Reza oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:73 year:2018 pages:647-665 extent:19 https://doi.org/10.1016/j.asoc.2018.08.048 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 73 2018 647-665 19 |
| allfields_unstemmed |
10.1016/j.asoc.2018.08.048 doi GBV00000000000447.pica (DE-627)ELV04488172X (ELSEVIER)S1568-4946(18)30526-X DE-627 ger DE-627 rakwb eng 540 530 VZ 33.00 bkl Mokarram, Vahid verfasserin aut An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses 2018transfer abstract 19 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions. Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions. DI Elsevier IDA Elsevier LS Elsevier MDOF Elsevier SDOF Elsevier PBD Elsevier RBF Elsevier DOF Elsevier MOEA Elsevier NDP Elsevier NTHA Elsevier CSM Elsevier EA Elsevier OP Elsevier IO Elsevier SMRF Elsevier NSP Elsevier CP Elsevier LCC Elsevier PSO Elsevier MOP Elsevier PA Elsevier RC Elsevier FEMA Elsevier SOP Elsevier PH Elsevier FC-MOPSO Elsevier MPA Elsevier Banan, Mohammad Reza oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:73 year:2018 pages:647-665 extent:19 https://doi.org/10.1016/j.asoc.2018.08.048 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 73 2018 647-665 19 |
| allfieldsGer |
10.1016/j.asoc.2018.08.048 doi GBV00000000000447.pica (DE-627)ELV04488172X (ELSEVIER)S1568-4946(18)30526-X DE-627 ger DE-627 rakwb eng 540 530 VZ 33.00 bkl Mokarram, Vahid verfasserin aut An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses 2018transfer abstract 19 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions. Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions. DI Elsevier IDA Elsevier LS Elsevier MDOF Elsevier SDOF Elsevier PBD Elsevier RBF Elsevier DOF Elsevier MOEA Elsevier NDP Elsevier NTHA Elsevier CSM Elsevier EA Elsevier OP Elsevier IO Elsevier SMRF Elsevier NSP Elsevier CP Elsevier LCC Elsevier PSO Elsevier MOP Elsevier PA Elsevier RC Elsevier FEMA Elsevier SOP Elsevier PH Elsevier FC-MOPSO Elsevier MPA Elsevier Banan, Mohammad Reza oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:73 year:2018 pages:647-665 extent:19 https://doi.org/10.1016/j.asoc.2018.08.048 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 73 2018 647-665 19 |
| allfieldsSound |
10.1016/j.asoc.2018.08.048 doi GBV00000000000447.pica (DE-627)ELV04488172X (ELSEVIER)S1568-4946(18)30526-X DE-627 ger DE-627 rakwb eng 540 530 VZ 33.00 bkl Mokarram, Vahid verfasserin aut An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses 2018transfer abstract 19 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions. Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions. DI Elsevier IDA Elsevier LS Elsevier MDOF Elsevier SDOF Elsevier PBD Elsevier RBF Elsevier DOF Elsevier MOEA Elsevier NDP Elsevier NTHA Elsevier CSM Elsevier EA Elsevier OP Elsevier IO Elsevier SMRF Elsevier NSP Elsevier CP Elsevier LCC Elsevier PSO Elsevier MOP Elsevier PA Elsevier RC Elsevier FEMA Elsevier SOP Elsevier PH Elsevier FC-MOPSO Elsevier MPA Elsevier Banan, Mohammad Reza oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:73 year:2018 pages:647-665 extent:19 https://doi.org/10.1016/j.asoc.2018.08.048 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 73 2018 647-665 19 |
| language |
English |
| source |
Enthalten in Atomic collapse in graphene quantum dots in a magnetic field Amsterdam [u.a.] volume:73 year:2018 pages:647-665 extent:19 |
| sourceStr |
Enthalten in Atomic collapse in graphene quantum dots in a magnetic field Amsterdam [u.a.] volume:73 year:2018 pages:647-665 extent:19 |
| format_phy_str_mv |
Article |
| bklname |
Physik: Allgemeines |
| institution |
findex.gbv.de |
| topic_facet |
DI IDA LS MDOF SDOF PBD RBF DOF MOEA NDP NTHA CSM EA OP IO SMRF NSP CP LCC PSO MOP PA RC FEMA SOP PH FC-MOPSO MPA |
| dewey-raw |
540 |
| isfreeaccess_bool |
false |
| container_title |
Atomic collapse in graphene quantum dots in a magnetic field |
| authorswithroles_txt_mv |
Mokarram, Vahid @@aut@@ Banan, Mohammad Reza @@oth@@ |
| publishDateDaySort_date |
2018-01-01T00:00:00Z |
| hierarchy_top_id |
ELV007866305 |
| dewey-sort |
3540 |
| id |
ELV04488172X |
| 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">ELV04488172X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626005921.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">181123s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.asoc.2018.08.048</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBV00000000000447.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV04488172X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1568-4946(18)30526-X</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="4"><subfield code="a">540</subfield><subfield code="a">530</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">33.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mokarram, Vahid</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">19</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">Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">DI</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">IDA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">LS</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MDOF</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SDOF</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">PBD</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">RBF</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">DOF</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MOEA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">NDP</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">NTHA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">CSM</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">EA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">OP</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">IO</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SMRF</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">NSP</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">CP</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">LCC</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">PSO</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MOP</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">PA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">RC</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">FEMA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SOP</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">PH</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">FC-MOPSO</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MPA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Banan, Mohammad Reza</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">Eren, I. ELSEVIER</subfield><subfield code="t">Atomic collapse in graphene quantum dots in a magnetic field</subfield><subfield code="d">2022</subfield><subfield code="d">the official journal of the World Federation on Soft Computing (WFSC)</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV007866305</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:73</subfield><subfield code="g">year:2018</subfield><subfield code="g">pages:647-665</subfield><subfield code="g">extent:19</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.asoc.2018.08.048</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="936" ind1="b" ind2="k"><subfield code="a">33.00</subfield><subfield code="j">Physik: 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">73</subfield><subfield code="j">2018</subfield><subfield code="h">647-665</subfield><subfield code="g">19</subfield></datafield></record></collection>
|
| author |
Mokarram, Vahid |
| spellingShingle |
Mokarram, Vahid ddc 540 bkl 33.00 Elsevier DI Elsevier IDA Elsevier LS Elsevier MDOF Elsevier SDOF Elsevier PBD Elsevier RBF Elsevier DOF Elsevier MOEA Elsevier NDP Elsevier NTHA Elsevier CSM Elsevier EA Elsevier OP Elsevier IO Elsevier SMRF Elsevier NSP Elsevier CP Elsevier LCC Elsevier PSO Elsevier MOP Elsevier PA Elsevier RC Elsevier FEMA Elsevier SOP Elsevier PH Elsevier FC-MOPSO Elsevier MPA An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses |
| authorStr |
Mokarram, Vahid |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV007866305 |
| format |
electronic Article |
| dewey-ones |
540 - Chemistry & allied sciences 530 - Physics |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
540 530 VZ 33.00 bkl An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses DI Elsevier IDA Elsevier LS Elsevier MDOF Elsevier SDOF Elsevier PBD Elsevier RBF Elsevier DOF Elsevier MOEA Elsevier NDP Elsevier NTHA Elsevier CSM Elsevier EA Elsevier OP Elsevier IO Elsevier SMRF Elsevier NSP Elsevier CP Elsevier LCC Elsevier PSO Elsevier MOP Elsevier PA Elsevier RC Elsevier FEMA Elsevier SOP Elsevier PH Elsevier FC-MOPSO Elsevier MPA Elsevier |
| topic |
ddc 540 bkl 33.00 Elsevier DI Elsevier IDA Elsevier LS Elsevier MDOF Elsevier SDOF Elsevier PBD Elsevier RBF Elsevier DOF Elsevier MOEA Elsevier NDP Elsevier NTHA Elsevier CSM Elsevier EA Elsevier OP Elsevier IO Elsevier SMRF Elsevier NSP Elsevier CP Elsevier LCC Elsevier PSO Elsevier MOP Elsevier PA Elsevier RC Elsevier FEMA Elsevier SOP Elsevier PH Elsevier FC-MOPSO Elsevier MPA |
| topic_unstemmed |
ddc 540 bkl 33.00 Elsevier DI Elsevier IDA Elsevier LS Elsevier MDOF Elsevier SDOF Elsevier PBD Elsevier RBF Elsevier DOF Elsevier MOEA Elsevier NDP Elsevier NTHA Elsevier CSM Elsevier EA Elsevier OP Elsevier IO Elsevier SMRF Elsevier NSP Elsevier CP Elsevier LCC Elsevier PSO Elsevier MOP Elsevier PA Elsevier RC Elsevier FEMA Elsevier SOP Elsevier PH Elsevier FC-MOPSO Elsevier MPA |
| topic_browse |
ddc 540 bkl 33.00 Elsevier DI Elsevier IDA Elsevier LS Elsevier MDOF Elsevier SDOF Elsevier PBD Elsevier RBF Elsevier DOF Elsevier MOEA Elsevier NDP Elsevier NTHA Elsevier CSM Elsevier EA Elsevier OP Elsevier IO Elsevier SMRF Elsevier NSP Elsevier CP Elsevier LCC Elsevier PSO Elsevier MOP Elsevier PA Elsevier RC Elsevier FEMA Elsevier SOP Elsevier PH Elsevier FC-MOPSO Elsevier MPA |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
m r b mr mrb |
| hierarchy_parent_title |
Atomic collapse in graphene quantum dots in a magnetic field |
| hierarchy_parent_id |
ELV007866305 |
| dewey-tens |
540 - Chemistry 530 - Physics |
| hierarchy_top_title |
Atomic collapse in graphene quantum dots in a magnetic field |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV007866305 |
| title |
An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses |
| ctrlnum |
(DE-627)ELV04488172X (ELSEVIER)S1568-4946(18)30526-X |
| title_full |
An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses |
| author_sort |
Mokarram, Vahid |
| journal |
Atomic collapse in graphene quantum dots in a magnetic field |
| journalStr |
Atomic collapse in graphene quantum dots in a magnetic field |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science |
| recordtype |
marc |
| publishDateSort |
2018 |
| contenttype_str_mv |
zzz |
| container_start_page |
647 |
| author_browse |
Mokarram, Vahid |
| container_volume |
73 |
| physical |
19 |
| class |
540 530 VZ 33.00 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Mokarram, Vahid |
| doi_str_mv |
10.1016/j.asoc.2018.08.048 |
| dewey-full |
540 530 |
| title_sort |
an improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses |
| title_auth |
An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses |
| abstract |
Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions. |
| abstractGer |
Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions. |
| abstract_unstemmed |
Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
| title_short |
An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses |
| url |
https://doi.org/10.1016/j.asoc.2018.08.048 |
| remote_bool |
true |
| author2 |
Banan, Mohammad Reza |
| author2Str |
Banan, Mohammad Reza |
| ppnlink |
ELV007866305 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth |
| doi_str |
10.1016/j.asoc.2018.08.048 |
| up_date |
2024-07-06T22:39:06.839Z |
| _version_ |
1803871109083299840 |
| 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">ELV04488172X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626005921.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">181123s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.asoc.2018.08.048</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBV00000000000447.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV04488172X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1568-4946(18)30526-X</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="4"><subfield code="a">540</subfield><subfield code="a">530</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">33.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mokarram, Vahid</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">19</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">Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Performance-based design (PBD) of buildings can be properly addressed in a multi-objective optimization framework. However, computational costs of such an approach will be very expensive especially if nonlinear time-history analysis (NTHA) is used as the evaluation tool. In this paper, significant reductions in computational costs of solving structural multi-objective optimization problems is achieved by proposing a new metaheuristic surrogate model called Surrogate FC-MOPSO. In this method, which is an extension of FC-MOPSO algorithm, NTHA and pushover analysis (PA) are simultaneously employed for evaluating system responses. PAs are adopted as an approximation tool in the surrogate model while the responses corresponding to feasible solutions are always evaluated from NTHAs. The final Pareto optimal solutions, which yield tradeoffs between initial and life-cycle costs (LCCs), are already evaluated based on NTHAs. It is shown that application of the proposed method results in substantial reductions of runtime of the considered problems. It is also demonstrated that adopting PAs as the only evaluation tool in optimal performance-based design of structures can result in unreliable solutions.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">DI</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">IDA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">LS</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MDOF</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SDOF</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">PBD</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">RBF</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">DOF</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MOEA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">NDP</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">NTHA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">CSM</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">EA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">OP</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">IO</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SMRF</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">NSP</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">CP</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">LCC</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">PSO</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MOP</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">PA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">RC</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">FEMA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SOP</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">PH</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">FC-MOPSO</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MPA</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Banan, Mohammad Reza</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">Eren, I. ELSEVIER</subfield><subfield code="t">Atomic collapse in graphene quantum dots in a magnetic field</subfield><subfield code="d">2022</subfield><subfield code="d">the official journal of the World Federation on Soft Computing (WFSC)</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV007866305</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:73</subfield><subfield code="g">year:2018</subfield><subfield code="g">pages:647-665</subfield><subfield code="g">extent:19</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.asoc.2018.08.048</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="936" ind1="b" ind2="k"><subfield code="a">33.00</subfield><subfield code="j">Physik: 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">73</subfield><subfield code="j">2018</subfield><subfield code="h">647-665</subfield><subfield code="g">19</subfield></datafield></record></collection>
|
| score |
7.3989286 |