Differential Evolution Algorithm based on Self-adaptive Adjustment Mechanism

摘要：

　　Differential evolution algorithm is a strong effective method for optimization problems.Parameter setting is one crucial point to improve the DEs performance.Hence,a DE based on self-adaptive adjustment mechanism (SAMDE) is proposed to tune the size of offspring population NP besides mutation scale factor F and crossover constant Cr automatically.Moreover,the proposed algorithm applies a DE strategies pool to adjust mutation strategy during different evolution stage.Testing the algorithms on multimodal or complex continuous benchmark functions,we find that the proposed SAMDE performs better than classic DE algorithms.Performance comparisons with JADE are also significant.

关键词： Differential evolution (DE) Self-adaptation Real-value optimization Population regulation

作者: Xu Wang Shuguang Zhao Yanling Jin Lijuan Zhang

作者单位: college of Information Science and Technology,Donghua University, Shanghai 201620, P.R. China

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 577-581

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）