A Hybrid Multiobjective Optimization Algorithm Applied to Space Trajectory Optimization

被引：0
|
作者：
Vasile, Massimiliano [1 ]
Zuiani, Federico [1 ]
机构：
[1] Univ Glasgow, Dept Aerosp Engn, Space Adv Res Team, Glasgow G12 8QQ, Lanark, Scotland
来源：
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2010年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents an algorithm for multiobjective optimization that blends together a number of heuristics. A population of agents combines heuristics that aim at exploring the search space both globally and in a neighborhood of each agent. These heuristics are complemented with two restart mechanisms and a combination of a local and global archive. The hybrid algorithm is tested at first on a set of standard problems and then on three specific problems in space trajectory design. The performance of the proposed hybrid algorithm is compared against NSGA-II.
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页数：8
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