2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD)
年：
2016
页码：
241-252
会议名称：
12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
会议时间：
AUG 13-15, 2016
会议地点：
Changsha, PEOPLES R CHINA
会议主办单位：
[Li, Yuandan] Hengyang Normal Univ, Coll Math & Stat, Hengyang 421008, Peoples R China.^[Zhang, Shiwen;Li, Zhiyong] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China.
会议赞助商：
IEEE, IEEE Circuits & Syst Soc, Nanyang Technol Univ, Hunan Univ, State Univ New York, Hunan Normal Univ, Natl Univ Def Technol
主编：
Li, MZ Xiong, N Tong, Z Du, J Liu, C Li, KL Wang, L
出版地：
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者：
IEEE
ISBN：
978-1-5090-4093-3
机构署名：
本校为第一且通讯机构
院系归属：
数学与统计学院
摘要：
Non-dominated sorting multi-objective optimization algorithms can constantly lead to the population of Pareto front optimal. However, the non-dominated sorting strategy lacks high capability to explore the Pareto front in the evolutionary subsequent process. We introduce a mixed strategy game model into evolutionary algorithms in this paper. Based on this strategy, we propose a novel multi-objective evolutionary algorithm (MSG-MOEA). A player adopts a strategy against the rest of the players with a certain probability in their respective strategy space instead of some specific strategy. Accord...
