Near-optimal low-thrust trajectories via micro-genetic algorithms

被引：27
作者：
CoverstoneCarroll, V
机构：
[1] Univ of Illinois at Urbana-Champaign, Urbana, IL
来源：
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS | 1997年 / 20卷 / 01期
关键词：
D O I：
10.2514/2.4020
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
The use of micro-genetic algorithms to determine near-optimal low-thrust trajectories is studied. Micro-genetic algorithms are inefficient at achieving near optimal solutions when boundary conditions were treated as equality constraints. However, when boundary conditions are cast as inequality constraints, micro-genetic algorithms showed faster convergence than simple genetic algorithms to near-optimal region.
引用
收藏
页码：196 / 198
页数：3
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