A novel modified bat algorithm hybridizing by differential evolution algorithm

作者：

Highlights：

• A modified bat algorithm based on new position selection strategies is proposed.

• The modified bat algorithm is hybrized with differantial evolution algorithm.

• Exploration and exploitation abilities of the bat algorithm are balanced.

• The algorithms are tested on classical benchmark functions and CEC test suites.

• Hybrid method improved significantly the performance of the bat algorithm.

摘要

•A modified bat algorithm based on new position selection strategies is proposed.•The modified bat algorithm is hybrized with differantial evolution algorithm.•Exploration and exploitation abilities of the bat algorithm are balanced.•The algorithms are tested on classical benchmark functions and CEC test suites.•Hybrid method improved significantly the performance of the bat algorithm.

论文关键词：Heuristic algorithms,Bat algorithm,Differential evolution algorithm,Continuous optimization,Large-scale optimization

论文评审过程：Received 27 November 2018, Revised 5 August 2019, Accepted 12 September 2019, Available online 13 September 2019, Version of Record 20 September 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112949