NSGA-II-Based Multi-objective Mission Planning Method for Satellite Formation System

This study proposes a non-dominated sorting genetic algorithm-II-based multi-objective optimization method to solve the multi-objective mission planning problem for satellite formation flying system which has the ability to obtain both digital elevation map and ground moving target indicator informa...
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Autor*in:	Xiaowei Shao [verfasserIn] Zehao Zhang [verfasserIn] Jihe Wang [verfasserIn] Dexin Zhang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	NSGA-II method Multi-objective mission planning DEM and GMTI Formation flying system.

Übergeordnetes Werk:	In: Journal of Aerospace Technology and Management - Instituto de Aeronáutica e Espaço (IAE), 2010, 8(2016), 4
Übergeordnetes Werk:	volume:8 ; year:2016 ; number:4

Links:	Link aufrufen Link aufrufen Journal toc

Katalog-ID:	DOAJ036031364

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allfields	(DE-627)DOAJ036031364 (DE-599)DOAJf330e9a3aef34a3a995724e8f855efe3 DE-627 ger DE-627 rakwb eng TL1-4050 Xiaowei Shao verfasserin aut NSGA-II-Based Multi-objective Mission Planning Method for Satellite Formation System 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study proposes a non-dominated sorting genetic algorithm-II-based multi-objective optimization method to solve the multi-objective mission planning problem for satellite formation flying system which has the ability to obtain both digital elevation map and ground moving target indicator information at the same time when certain conditions are satisfied. The 2 objectives considered in this study are maximizing total profits and maximizing numbers of completed acquisitions. Thus, the multiple-objective satellite scheduling optimization problem is formulated and solved by the proposed method. Its validity and effectiveness are verified by numerical simulations, and the results show that it can achieve better performance with respect to 2 different objectives in an overall perspective than the traditional scheduling optimization, which can consider only 1 objective NSGA-II method Multi-objective mission planning DEM and GMTI Formation flying system. Technology T Motor vehicles. Aeronautics. Astronautics Zehao Zhang verfasserin aut Jihe Wang verfasserin aut Dexin Zhang verfasserin aut In Journal of Aerospace Technology and Management Instituto de Aeronáutica e Espaço (IAE), 2010 8(2016), 4 (DE-627)633082236 (DE-600)2567333-6 21759146 nnns volume:8 year:2016 number:4 https://doaj.org/article/f330e9a3aef34a3a995724e8f855efe3 kostenfrei https://www.jatm.com.br/jatm/article/view/700 kostenfrei https://doaj.org/toc/2175-9146 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2016 4
spelling	(DE-627)DOAJ036031364 (DE-599)DOAJf330e9a3aef34a3a995724e8f855efe3 DE-627 ger DE-627 rakwb eng TL1-4050 Xiaowei Shao verfasserin aut NSGA-II-Based Multi-objective Mission Planning Method for Satellite Formation System 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study proposes a non-dominated sorting genetic algorithm-II-based multi-objective optimization method to solve the multi-objective mission planning problem for satellite formation flying system which has the ability to obtain both digital elevation map and ground moving target indicator information at the same time when certain conditions are satisfied. The 2 objectives considered in this study are maximizing total profits and maximizing numbers of completed acquisitions. Thus, the multiple-objective satellite scheduling optimization problem is formulated and solved by the proposed method. Its validity and effectiveness are verified by numerical simulations, and the results show that it can achieve better performance with respect to 2 different objectives in an overall perspective than the traditional scheduling optimization, which can consider only 1 objective NSGA-II method Multi-objective mission planning DEM and GMTI Formation flying system. Technology T Motor vehicles. Aeronautics. Astronautics Zehao Zhang verfasserin aut Jihe Wang verfasserin aut Dexin Zhang verfasserin aut In Journal of Aerospace Technology and Management Instituto de Aeronáutica e Espaço (IAE), 2010 8(2016), 4 (DE-627)633082236 (DE-600)2567333-6 21759146 nnns volume:8 year:2016 number:4 https://doaj.org/article/f330e9a3aef34a3a995724e8f855efe3 kostenfrei https://www.jatm.com.br/jatm/article/view/700 kostenfrei https://doaj.org/toc/2175-9146 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2016 4
allfields_unstemmed	(DE-627)DOAJ036031364 (DE-599)DOAJf330e9a3aef34a3a995724e8f855efe3 DE-627 ger DE-627 rakwb eng TL1-4050 Xiaowei Shao verfasserin aut NSGA-II-Based Multi-objective Mission Planning Method for Satellite Formation System 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study proposes a non-dominated sorting genetic algorithm-II-based multi-objective optimization method to solve the multi-objective mission planning problem for satellite formation flying system which has the ability to obtain both digital elevation map and ground moving target indicator information at the same time when certain conditions are satisfied. The 2 objectives considered in this study are maximizing total profits and maximizing numbers of completed acquisitions. Thus, the multiple-objective satellite scheduling optimization problem is formulated and solved by the proposed method. Its validity and effectiveness are verified by numerical simulations, and the results show that it can achieve better performance with respect to 2 different objectives in an overall perspective than the traditional scheduling optimization, which can consider only 1 objective NSGA-II method Multi-objective mission planning DEM and GMTI Formation flying system. Technology T Motor vehicles. Aeronautics. Astronautics Zehao Zhang verfasserin aut Jihe Wang verfasserin aut Dexin Zhang verfasserin aut In Journal of Aerospace Technology and Management Instituto de Aeronáutica e Espaço (IAE), 2010 8(2016), 4 (DE-627)633082236 (DE-600)2567333-6 21759146 nnns volume:8 year:2016 number:4 https://doaj.org/article/f330e9a3aef34a3a995724e8f855efe3 kostenfrei https://www.jatm.com.br/jatm/article/view/700 kostenfrei https://doaj.org/toc/2175-9146 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2016 4
allfieldsGer	(DE-627)DOAJ036031364 (DE-599)DOAJf330e9a3aef34a3a995724e8f855efe3 DE-627 ger DE-627 rakwb eng TL1-4050 Xiaowei Shao verfasserin aut NSGA-II-Based Multi-objective Mission Planning Method for Satellite Formation System 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study proposes a non-dominated sorting genetic algorithm-II-based multi-objective optimization method to solve the multi-objective mission planning problem for satellite formation flying system which has the ability to obtain both digital elevation map and ground moving target indicator information at the same time when certain conditions are satisfied. The 2 objectives considered in this study are maximizing total profits and maximizing numbers of completed acquisitions. Thus, the multiple-objective satellite scheduling optimization problem is formulated and solved by the proposed method. Its validity and effectiveness are verified by numerical simulations, and the results show that it can achieve better performance with respect to 2 different objectives in an overall perspective than the traditional scheduling optimization, which can consider only 1 objective NSGA-II method Multi-objective mission planning DEM and GMTI Formation flying system. Technology T Motor vehicles. Aeronautics. Astronautics Zehao Zhang verfasserin aut Jihe Wang verfasserin aut Dexin Zhang verfasserin aut In Journal of Aerospace Technology and Management Instituto de Aeronáutica e Espaço (IAE), 2010 8(2016), 4 (DE-627)633082236 (DE-600)2567333-6 21759146 nnns volume:8 year:2016 number:4 https://doaj.org/article/f330e9a3aef34a3a995724e8f855efe3 kostenfrei https://www.jatm.com.br/jatm/article/view/700 kostenfrei https://doaj.org/toc/2175-9146 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2016 4
allfieldsSound	(DE-627)DOAJ036031364 (DE-599)DOAJf330e9a3aef34a3a995724e8f855efe3 DE-627 ger DE-627 rakwb eng TL1-4050 Xiaowei Shao verfasserin aut NSGA-II-Based Multi-objective Mission Planning Method for Satellite Formation System 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study proposes a non-dominated sorting genetic algorithm-II-based multi-objective optimization method to solve the multi-objective mission planning problem for satellite formation flying system which has the ability to obtain both digital elevation map and ground moving target indicator information at the same time when certain conditions are satisfied. The 2 objectives considered in this study are maximizing total profits and maximizing numbers of completed acquisitions. Thus, the multiple-objective satellite scheduling optimization problem is formulated and solved by the proposed method. Its validity and effectiveness are verified by numerical simulations, and the results show that it can achieve better performance with respect to 2 different objectives in an overall perspective than the traditional scheduling optimization, which can consider only 1 objective NSGA-II method Multi-objective mission planning DEM and GMTI Formation flying system. Technology T Motor vehicles. Aeronautics. Astronautics Zehao Zhang verfasserin aut Jihe Wang verfasserin aut Dexin Zhang verfasserin aut In Journal of Aerospace Technology and Management Instituto de Aeronáutica e Espaço (IAE), 2010 8(2016), 4 (DE-627)633082236 (DE-600)2567333-6 21759146 nnns volume:8 year:2016 number:4 https://doaj.org/article/f330e9a3aef34a3a995724e8f855efe3 kostenfrei https://www.jatm.com.br/jatm/article/view/700 kostenfrei https://doaj.org/toc/2175-9146 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2016 4
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callnumber-first	T - Technology
author	Xiaowei Shao
spellingShingle	Xiaowei Shao misc TL1-4050 misc NSGA-II method misc Multi-objective mission planning misc DEM and GMTI misc Formation flying system. misc Technology misc T misc Motor vehicles. Aeronautics. Astronautics NSGA-II-Based Multi-objective Mission Planning Method for Satellite Formation System
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topic_title	TL1-4050 NSGA-II-Based Multi-objective Mission Planning Method for Satellite Formation System NSGA-II method Multi-objective mission planning DEM and GMTI Formation flying system
topic	misc TL1-4050 misc NSGA-II method misc Multi-objective mission planning misc DEM and GMTI misc Formation flying system. misc Technology misc T misc Motor vehicles. Aeronautics. Astronautics
topic_unstemmed	misc TL1-4050 misc NSGA-II method misc Multi-objective mission planning misc DEM and GMTI misc Formation flying system. misc Technology misc T misc Motor vehicles. Aeronautics. Astronautics
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title	NSGA-II-Based Multi-objective Mission Planning Method for Satellite Formation System
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title_full	NSGA-II-Based Multi-objective Mission Planning Method for Satellite Formation System
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author_browse	Xiaowei Shao Zehao Zhang Jihe Wang Dexin Zhang
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title_sort	nsga-ii-based multi-objective mission planning method for satellite formation system
callnumber	TL1-4050
title_auth	NSGA-II-Based Multi-objective Mission Planning Method for Satellite Formation System
abstract	This study proposes a non-dominated sorting genetic algorithm-II-based multi-objective optimization method to solve the multi-objective mission planning problem for satellite formation flying system which has the ability to obtain both digital elevation map and ground moving target indicator information at the same time when certain conditions are satisfied. The 2 objectives considered in this study are maximizing total profits and maximizing numbers of completed acquisitions. Thus, the multiple-objective satellite scheduling optimization problem is formulated and solved by the proposed method. Its validity and effectiveness are verified by numerical simulations, and the results show that it can achieve better performance with respect to 2 different objectives in an overall perspective than the traditional scheduling optimization, which can consider only 1 objective
abstractGer	This study proposes a non-dominated sorting genetic algorithm-II-based multi-objective optimization method to solve the multi-objective mission planning problem for satellite formation flying system which has the ability to obtain both digital elevation map and ground moving target indicator information at the same time when certain conditions are satisfied. The 2 objectives considered in this study are maximizing total profits and maximizing numbers of completed acquisitions. Thus, the multiple-objective satellite scheduling optimization problem is formulated and solved by the proposed method. Its validity and effectiveness are verified by numerical simulations, and the results show that it can achieve better performance with respect to 2 different objectives in an overall perspective than the traditional scheduling optimization, which can consider only 1 objective
abstract_unstemmed	This study proposes a non-dominated sorting genetic algorithm-II-based multi-objective optimization method to solve the multi-objective mission planning problem for satellite formation flying system which has the ability to obtain both digital elevation map and ground moving target indicator information at the same time when certain conditions are satisfied. The 2 objectives considered in this study are maximizing total profits and maximizing numbers of completed acquisitions. Thus, the multiple-objective satellite scheduling optimization problem is formulated and solved by the proposed method. Its validity and effectiveness are verified by numerical simulations, and the results show that it can achieve better performance with respect to 2 different objectives in an overall perspective than the traditional scheduling optimization, which can consider only 1 objective
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title_short	NSGA-II-Based Multi-objective Mission Planning Method for Satellite Formation System
url	https://doaj.org/article/f330e9a3aef34a3a995724e8f855efe3 https://www.jatm.com.br/jatm/article/view/700 https://doaj.org/toc/2175-9146
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author2	Zehao Zhang Jihe Wang Dexin Zhang
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