Application of mutation operators to salp swarm algorithm
作者：
Highlights：
• The concept of division of iteration and linearly decreasing population size to reduce computational burden.
• A new enhanced exploitation phase is added based on the hybrid concepts of GWO & CS algorithms.
• Seven new mutation operators have been proposed to balance exploration and exploitation.
• Performance evaluation of seven proposed algorithm for variable population and dimension size.
• Best algorithm MSSA is compared with others for benchmarks and real world algorithms.
摘要
•The concept of division of iteration and linearly decreasing population size to reduce computational burden.•A new enhanced exploitation phase is added based on the hybrid concepts of GWO & CS algorithms.•Seven new mutation operators have been proposed to balance exploration and exploitation.•Performance evaluation of seven proposed algorithm for variable population and dimension size.•Best algorithm MSSA is compared with others for benchmarks and real world algorithms.
论文关键词：Salp swarm algorithm,Mutation operators,Adaptive properties,Benchmark problems,Nature inspired algorithms
论文评审过程：Received 3 April 2020, Revised 4 July 2020, Accepted 23 November 2020, Available online 24 November 2020, Version of Record 10 February 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114368
