PARALLEL GENETIC ALGORITHMS FOR OPTIMAL CONTROL

被引：0

作者：

McGrath, Christopher B. ^{[1
]}

Proulx, Ronald J. ^{[2
]}

Karpenko, Mark ^{[1
]}

机构：

[1] Naval Postgrad Sch, Dept Mech & Aerosp Engn, Monterey, CA 93943 USA

[2] Naval Postgrad Sch, Space Syst Acad Grp, Monterey, CA 93943 USA

来源：

SPACEFLIGHT MECHANICS 2016, PTS I-IV | 2016年 / 158卷

关键词：

OPTIMIZATION; CROSSOVER;

D O I：

暂无

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

This paper investigates the application of parallel genetic algorithms in finding solutions to optimal control problems using a direct shooting method. An example lunar lander problem is solved with parallel island genetic algorithms to demonstrate the effectiveness of different encoding types, crossover operators, and constraint-handling techniques. The incorporation of parallel processing is shown to improve robustness and accuracy in all algorithms considered in this study.

引用

页码：339 / 358

页数：20

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