A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems

作者：

Highlights：

• A novel optimization algorithm for global called OBCWOA is proposed.

• Chaos mechanism strengthen the optimization ability of the original WOA algorithm.

• Quasi-opposition is used to avoid trapping into local optima.

• The algorithm has fast convergence rate and achieves better solutions.

摘要

•A novel optimization algorithm for global called OBCWOA is proposed.•Chaos mechanism strengthen the optimization ability of the original WOA algorithm.•Quasi-opposition is used to avoid trapping into local optima.•The algorithm has fast convergence rate and achieves better solutions.

论文关键词：Whale optimization algorithm,Chaos mechanism,Quasi-opposition based learning,Global optimization problems

论文评审过程：Received 14 January 2020, Revised 29 May 2020, Accepted 30 May 2020, Available online 10 June 2020, Version of Record 25 June 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113612