A comprehensive study of chaos embedded bridging mechanisms and crossover operators for grasshopper optimisation algorithm

作者：

Highlights：

• New Chaotic bridging mechanism is proposed for Grasshopper Optimisation algorithm.

• Chaotic Crossover scheme is proposed.

• Implications of the modification on performance of algorithm are validated on CEC-2017.

• Various analyses are presented to validate the proposed approach.

• Real applications of proposed variants are reported on challenging problems.

摘要

•New Chaotic bridging mechanism is proposed for Grasshopper Optimisation algorithm.•Chaotic Crossover scheme is proposed.•Implications of the modification on performance of algorithm are validated on CEC-2017.•Various analyses are presented to validate the proposed approach.•Real applications of proposed variants are reported on challenging problems.

论文关键词：Grasshopper optimisation algorithm,Crossover,Congress on Evolutionary Computation (CEC),Chaos theory

论文评审过程：Received 16 August 2018, Revised 18 April 2019, Accepted 18 April 2019, Available online 4 May 2019, Version of Record 10 May 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.04.043