A new experiential learning electromagnetism-like mechanism for numerical optimization

作者：

Highlights：

• An improved Electromagnetism-Like mechanism algorithm is proposed.

• An experiential learning search mechanism replaces the traditional local search loop.

• This mechanism analyses results from previous search and adjust accordingly.

• Our approach is simple yet effective in solving global optimization problems.

摘要

•An improved Electromagnetism-Like mechanism algorithm is proposed.•An experiential learning search mechanism replaces the traditional local search loop.•This mechanism analyses results from previous search and adjust accordingly.•Our approach is simple yet effective in solving global optimization problems.

论文关键词：Electromagnetism-like Mechanism algorithm,Metaheuristics,Numerical optimization,Exploitation

论文评审过程：Received 8 January 2016, Revised 12 May 2017, Accepted 1 June 2017, Available online 3 June 2017, Version of Record 9 June 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.06.002