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发布时间：2019-03-12

论文类型：会议论文

发表时间：2006-10-03

收录刊物：Scopus、CPCI-S、EI

卷号：1

页面范围：270-273

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.