A co-evolutionary game optimization method for layout design of satellite module

被引：0
|
作者：
Zeng, Wei [1 ]
Shi, Yan-jun [2 ]
Teng, Hong-fei [3 ]
机构：
[1] Dalian Univ Technol, Sch Mech Engn, Key Lab Precis & Nontradit Machining Technol, Minist Educ, Dalian 116024, Peoples R China
[2] Dalian Univ Technol, Key Lab Precis & Nontradit Machining Technol, Minist Educ, Dalian 116024, Peoples R China
[3] Dalian Univ Technol, Sch Mech Engn, Dalian 116024, Peoples R China
来源：
2006 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PTS 1 AND 2, PROCEEDINGS | 2006年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/ICCIAS.2006.294135
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a co-evolutionary game optimization algorithm (CEGA) to explore the layout design of a simplified international commercial communication satellite module. The method is inspired by game theory and co-evolutionary optimization algorithm. Some comparisons are offered with other optimization algorithms in terms of both solution quality and efficiency of computation. These contrast algorithms are a single-objective global optimization method using genetic algorithm (GA) and a traditional co-evolutionary optimization algorithm (CEA). The results of numerical experiment show that the proposed method offers a precise and robust alternative for the layout design of the satellite module.
引用
收藏
页码：270 / 273
页数：4
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