Dynamic Multi-objective Differential Evolution for Solving Constrained Optimization Problem

被引：0
|
作者：
Jia, Lina [1 ]
Zeng, Sanyou [1 ]
Zhou, Dong [1 ]
Zhou, Aimin [2 ]
Li, Zhengjun [3 ]
Jing, Hongyong [3 ]
机构：
[1] China Univ Geosci, Sch Comp Sci, Wuhan 430074, Hubei, Peoples R China
[2] China Normal Univ, Shanghai 200062, Peoples R China
[3] China Acad Space Technol Xian, Xian, Shanxi 710000, Peoples R China
来源：
2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2011年
基金：
中国国家自然科学基金;
关键词：
Constrained optimization; Differential Evolution; Dynamic Constrained Multi-objective Optimization; ALGORITHMS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Dynamic constrained multi-objective differential evolution(DCMODE) is designed for solving constrained optimization problem(COP). Main feature presented in this paper is to construct dynamic multi-objective optimization problem( DMOP) from COP. The two evolved objectives are original function objective and violation objective. Constraints are controlled by dynamic environments, where the relaxed constraints boundaries are gradually tightened to original boundaries. After this dynamic process, DMOP solutions are close to COP solution. This new algorithm is tested on benchmark problems of special session at CEC2006 with 100% success rates of all problems. Compared with several state-of-the-art DE variants referred in this paper, our algorithm outperforms or performs similarly to them. The satisfactory results suggest that it is efficient and generic when handling inequality/equality constraints.
引用
收藏
页码：2649 / 2654
页数：6
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