Release Time:2019-03-12  Hits:

Indexed by: Conference Paper

Date of Publication: 2006-10-03

Included Journals: Scopus、CPCI-S、EI

Volume: 1

Page Number: 270-273

Abstract: 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.