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

页码：270 / 273

页数：4

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