Differential Evolution Based on Hybrid Crossover Operators

摘要：

Differential evolution (DE) is a newly proposed intelligent optimization algorithm, which has shown good search abilities in many optimization problems. However, DE as well as other populationbased stochastic algorithms can be easily trapped into local optima when solving complex multimodal problems. In order to enhance the performance of DE, this paper presents a novel DE variant (HCDE) based on hybrid crossover operators. Simulation studies on ten wellknown benchmark functions show that the proposed approach HCDE achieves better results when compared with other two DE variants.

关键词： differential evolution evolutionary computation crossover global optimization

作者: Lei Yang Long Zhou MinYu

作者单位: Department of Electrical Information Engineering Wuhan Polytechnic University Wuhan 430023 China School of Transportation Wuhan University of Technology Wuhan 430060, China

会议类型: 国际会议

会议名称: 2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)

会议地点: 长沙

会议语种:英文

页码: 660-663

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）