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
收藏
页码：339 / 358
页数：20
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