关键词: 类电磁机制算法, 反向学习, 单纯形法, 优化

Abstract: After analyzing the low local search ability of electromagnetism-like mechanism（EM） algorithm, a hybrid EM algorithm based on simplex method is proposed. The proposed algorithm utilizes opposition learning strategy to construct the initial population that is scattered uniformly over the entire search space in order to maintain the diversity. Select the best population for local search by simplex method to speed up the convergence rate of the algorithm. The performance of the proposed algorithm tested using four well-known benchmark functions are reported, and the experimental results show that the proposed algorithm is more effective than standard EM algorithm and other evolutionary algorithms.

Key words: electromagnetism-like mechanism algorithm, opposition learning, simplex method, optimization