A hybrid algorithm based on self-adaptive gravitational search algorithm and differential evolution

作者：

Highlights：

• A hybrid algorithm based on self-adaptive mechanism is proposed.

• A parameter self-adaptive mechanism based on α and G0 is presented.

• A disturbance operation based on Levy flight is introduced.

• Two mutation mechanisms and crossover operation are proposed in the algorithm.

• The convergence performance of the algorithm is analyzed with the Markov model.

摘要

•A hybrid algorithm based on self-adaptive mechanism is proposed.•A parameter self-adaptive mechanism based on α and G0 is presented.•A disturbance operation based on Levy flight is introduced.•Two mutation mechanisms and crossover operation are proposed in the algorithm.•The convergence performance of the algorithm is analyzed with the Markov model.

论文关键词：Gravitational search algorithm,Differential evolution,Self-adaptive mechanism,Crossover and mutation operation,Exploration and exploitation

论文评审过程：Received 2 March 2018, Revised 22 May 2018, Accepted 2 July 2018, Available online 21 July 2018, Version of Record 21 July 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.07.008