An Improved Differential Evolution Algorithm and Its Application on Multiple Visiting Target Problem

被引：0
|
作者：
Yao W. [1 ,2 ]
Luo J.-J. [1 ,2 ]
Ma W.-H. [1 ,2 ]
Yuan J.-P. [1 ,2 ]
机构：
[1] School of Astronautics, Northwestern Polytechnical University, Xi'an
[2] Science and Technology on Aerospace Flight Dynamics Laboratory, Xi'an
来源：
| 1600年 / China Spaceflight Society卷 / 38期
关键词：
Multi-constraints; Multiple visiting target; Orbit maneuver design; Self-adaptive differential evolution;
D O I：
10.3873/j.issn.1000-1328.2017.09.004
中图分类号：
学科分类号：
摘要：
An optimal problem of orbit maneuver when multiple targets need to be visited in a described period of time is modeled and solved in this paper. Firstly, the problem description and modeling process considering multiple constraints and performance indexes can reduce the searching space and improve the efficiency. Then focusing on the drawbacks of the classical differential evolution algorithm, an improved algorithm is proposed and applied on the multiple visiting target problem. The traditional algorithm is improved by designing the double self-adaption control parameters and introducing a random mutant to improve the efficiency of optimizing and make the algorithm can jump out when trapped into the local optimum. Specific simulation verifies that the SA-DE-RM (rand) algorithm has a better performance on average value, best result and mean square error and it is feasible and effective. © 2017, Editorial Dept. of JA. All right reserved.
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页码：919 / 926
页数：7
相关论文
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