Multi-strategy Mutation Constrained Differential Evolution Algorithm Based on Replacement and Restart Mechanism

被引:0
作者
Tong, Lyuyang [1 ,3 ]
Dong, Minggang [1 ,2 ]
Jing, Chao [1 ,2 ]
机构
[1] Guilin Univ Technol, Coll Informat Sci & Engn, Guilin 541004, Peoples R China
[2] Guilin Univ Technol, Guangxi Key Lab Embedded Technol & Intelligent Sy, Guilin, Peoples R China
[3] Wuhan Univ, Sch Comp Sci, Wuhan, Peoples R China
来源
COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING, CHINESECSCW 2018 | 2019年 / 917卷
基金
中国国家自然科学基金;
关键词
Differential evolution (DE); Constrained optimization; Multi-strategy mutation; OPTIMIZATION;
D O I
10.1007/978-981-13-3044-5_6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In order to balance relationships between objective functions and constraints, this paper proposes a multi-strategy mutation constrained differential evolution algorithm based on the replacement and restart mechanism (MCODE). Due to the feasible rule as the constraint processing technology, MCODE utilizes multi-strategy mutation to balance the relationship between the constraints and the objective functions. Moreover, MCODE employs the replacement and restart mechanism to improve the diversity for jumping out of the local solution of the infeasible area. The comparison with the other four constrained optimization methods on the 18 CEC2010 test functions shows that MCODE achieves a relatively competitive result.
引用
收藏
页码:77 / 86
页数:10
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