Modified Differential Evolution Algorithm and Its Application in Multimodal Function Optimization

摘要：

In multimodal optimization,the original differential evolution algorithm is easy to duplicate and miss points of the optimal value. To solve this problem,a modified differential evolution algorithm,called BNDE,is proposed. This modified differential evolution algorithm is based on the niche differential evolution (NDE) algorithm,and implemented a Bernoulli trial. It is proved theoretically that the algorithm BNDE is much more effective than the algorithm NDE for multimodal function optimization problems. However,the time complexity of the new scheme is increased. Testing of the algorithm by using four benchmark functions indicate that the algorithm BNDE has better perform in stability and convergence.

关键词： Multimodal function optimization Differential evolution Bernoulli trial

作者: Na Li Yuanxiang Li Zhiguo Huang

作者单位: State Key Lab. of Software Engineering,Wuhan University,Wuhan,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 149-153

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）