A Modified Differentlal Evolution for Constrained Optimization

摘要：

This paper proposed a modified difierential evolution algorithm(MCDE)to solve constraints optimization problems.The method used three simple selection criteria based on feasibility to guide the search in the feasible region.The proposed approach did not adopt the penalty function method.in contrast to the penalty function method,the constraint-handing technique of this paper is very simple,dose not require additional parameters.In addition,this paper incorporated the center point of the population into the DE algorithm,and modified the crossover factor of DE algorithm.Simulation and comparisons based on four testing functions and one engineering example demonstrate the effectiveness,efficiency and robustness of the proposed MCDE.

关键词： Constrained Optimization Differential Evolution Modified

作者: Wen Shuhua Lu Qingbo Zhang Xueliang Wang Xiaoli

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 252-255

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）