文献类型：会议论文

英文题名：A Hybrid Evolutionary Algorithm Based on Alopex and Estimation of Distribution Algorithm and Its Application for Optimization

作者：Li, Shaojun[1];Li, Fei[1];Mei, Zhenzhen[1]

机构：[1]E China Univ Sci & Technol, Inst Automat, Shanghai 200237, Peoples R China

会议论文集：1st International Conference on Swarm Intelligence

会议日期：JUN 12-15, 2010

会议地点：Beijing, PEOPLES R CHINA

语种：英文

外文关键词：Alopex; Estimation of distribution algorithm; Meta-heuristics; Evolutionary algorithm

摘要：Alopex is a correlation-based algorithm. which shares characteristics of both gradient descent approach and simulated annealing It has been successfully applied to continuous and combinatorial optimization problems for years Estimation of Distribution Algorithms (EDAs) is a class or novel evolutionary algorithms (EAs) proposed in recent years Compared with the traditional EAs, it possesses unique evolutionary characteristics In this paper, a hybrid evolutionary algorithm (EDA-Alopex) is proposed. which integrates the merits of both Alopex and EDA. and obtains mole evolutionary information than these two approaches The new algorithm is tested with several benchmark functions, numerical case study results demonstrate that EDA-Alopex on both EDA and AEA. especially for the complex multi-modal functions Finally, the proposed algorithm Is investigated on high-dimensional and multi-peaks benchmark functions, and it also achieves satisfactory results