Multiple Gravity Assist Spacecraft Trajectories Design Based on BFS and EP_DE Algorithm

The paper deals with the multiple gravity assist trajectories design. In order to improve the performance of the heuristic algorithms, such as differential evolution algorithm, in multiple gravity assist trajectories design optimization, a method combining BFS (breadth-first search) and EP_DE (diffe...

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Main Authors: Mingcheng Zuo, Guangming Dai, Lei Peng, Maocai Wang, Jinlian Xiong
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2016/3416046
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author Mingcheng Zuo
Guangming Dai
Lei Peng
Maocai Wang
Jinlian Xiong
author_facet Mingcheng Zuo
Guangming Dai
Lei Peng
Maocai Wang
Jinlian Xiong
author_sort Mingcheng Zuo
collection DOAJ
description The paper deals with the multiple gravity assist trajectories design. In order to improve the performance of the heuristic algorithms, such as differential evolution algorithm, in multiple gravity assist trajectories design optimization, a method combining BFS (breadth-first search) and EP_DE (differential evolution algorithm based on search space exploring and principal component analysis) is proposed. In this method, firstly find the possible multiple gravity assist planet sequences with pruning based BFS and use standard differential evolution algorithm to judge the possibility of all the possible trajectories. Then select the better ones from all the possible solutions. Finally, use EP_DE which will be introduced in this paper to find an optimal decision vector of spacecraft transfer time schedule (launch window and transfer duration) for each selected planet sequence. In this paper, several cases are presented to prove the efficiency of the method proposed.
format Article
id doaj-art-bb9b207936a54e14b194e33c2dd3bbba
institution OA Journals
issn 1687-5966
1687-5974
language English
publishDate 2016-01-01
publisher Wiley
record_format Article
series International Journal of Aerospace Engineering
spelling doaj-art-bb9b207936a54e14b194e33c2dd3bbba2025-08-20T02:18:42ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742016-01-01201610.1155/2016/34160463416046Multiple Gravity Assist Spacecraft Trajectories Design Based on BFS and EP_DE AlgorithmMingcheng Zuo0Guangming Dai1Lei Peng2Maocai Wang3Jinlian Xiong4School of Computer Science, China University of Geosciences, Wuhan 430074, ChinaSchool of Computer Science, China University of Geosciences, Wuhan 430074, ChinaSchool of Computer Science, China University of Geosciences, Wuhan 430074, ChinaSchool of Computer Science, China University of Geosciences, Wuhan 430074, ChinaSchool of Computer Science, China University of Geosciences, Wuhan 430074, ChinaThe paper deals with the multiple gravity assist trajectories design. In order to improve the performance of the heuristic algorithms, such as differential evolution algorithm, in multiple gravity assist trajectories design optimization, a method combining BFS (breadth-first search) and EP_DE (differential evolution algorithm based on search space exploring and principal component analysis) is proposed. In this method, firstly find the possible multiple gravity assist planet sequences with pruning based BFS and use standard differential evolution algorithm to judge the possibility of all the possible trajectories. Then select the better ones from all the possible solutions. Finally, use EP_DE which will be introduced in this paper to find an optimal decision vector of spacecraft transfer time schedule (launch window and transfer duration) for each selected planet sequence. In this paper, several cases are presented to prove the efficiency of the method proposed.http://dx.doi.org/10.1155/2016/3416046
spellingShingle Mingcheng Zuo
Guangming Dai
Lei Peng
Maocai Wang
Jinlian Xiong
Multiple Gravity Assist Spacecraft Trajectories Design Based on BFS and EP_DE Algorithm
International Journal of Aerospace Engineering
title Multiple Gravity Assist Spacecraft Trajectories Design Based on BFS and EP_DE Algorithm
title_full Multiple Gravity Assist Spacecraft Trajectories Design Based on BFS and EP_DE Algorithm
title_fullStr Multiple Gravity Assist Spacecraft Trajectories Design Based on BFS and EP_DE Algorithm
title_full_unstemmed Multiple Gravity Assist Spacecraft Trajectories Design Based on BFS and EP_DE Algorithm
title_short Multiple Gravity Assist Spacecraft Trajectories Design Based on BFS and EP_DE Algorithm
title_sort multiple gravity assist spacecraft trajectories design based on bfs and ep de algorithm
url http://dx.doi.org/10.1155/2016/3416046
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AT leipeng multiplegravityassistspacecrafttrajectoriesdesignbasedonbfsandepdealgorithm
AT maocaiwang multiplegravityassistspacecrafttrajectoriesdesignbasedonbfsandepdealgorithm
AT jinlianxiong multiplegravityassistspacecrafttrajectoriesdesignbasedonbfsandepdealgorithm