A new Electromagnetism-like Algorithm with Chaos Optimization
The Electromagnetism-lke algorithmis a populationbased stochastic global optimization algorithm that uses an attraction- repulsion mechanism to mow particles toward optimality. A local search is an important factor influencing the accuracy of the solutions of the EM algorithm. In this paper, we propose a new local search procedure bated on Chaos optimization algorithm(COA) to improve efficiency. The proposed method Is applied to some test problems and compared with the original EM algorithm.
Electromagnetism-like algorithm Chaos optimzation Local Search
Qing Hua Wang JianChao Zeng
School of Electronic and Information Engineering Taiyuan University of Science & Technology Taiyuan, Division of System Simulation & Computer Application WeiPing Song School of Electronic and Informati
国际会议
International Conference on Computational Aspects of Social Networks(国际社会网络计算会议 CASoN 2010)
太原
英文
535-538
2010-09-26(万方平台首次上网日期,不代表论文的发表时间)