A Hybrid Differential Evolution Algorithm for Solving Function Optimization

作     者：Zhigang Zhou Department of Computer Science and Technology Dezhou University China 

会议名称：《2010 International Conference on Advanced Measurement and Test (AMT 2010)》

会议日期：2010年

学科分类：07[理学] 070104[理学-应用数学] 0701[理学-数学] 

关 键 词：Differential evolution(DE) evolutionary algorithm optimization. 

摘      要：One of the key points resulting in the success of differential evolution（DE）is its mechanism of different mutation strategies for generating mutant *** this paper,we also present a novel mutation strategy inspired by the velocity updating scheme of particle swarm optimization（PSO）.The proposed approach is called HDE,which conducts the mutation strategy on the global best vector for each *** studies on 8 well-known benchmark functions show that HDE outperforms other three compared DE algorithms in most test cases.