A population initialization method for evolutionary algorithms based on clustering and Cauchy deviates
作者：
Highlights：
• A population initialization method for evolutionary algorithms is proposed.
• The method utilizes partitional clustering and a simple Cauchy mutation.
• Viability of the method is tested on numerous standard functions.
• Performance of differential evolution benefits from incorporating the method.
• A considerable increase in the convergence rate is observed.
摘要
•A population initialization method for evolutionary algorithms is proposed.•The method utilizes partitional clustering and a simple Cauchy mutation.•Viability of the method is tested on numerous standard functions.•Performance of differential evolution benefits from incorporating the method.•A considerable increase in the convergence rate is observed.
论文关键词：Cauchy deviates,Clustering,Differential evolution,Evolutionary algorithms,Initial population,Mutation
论文评审过程：Received 24 February 2016, Revised 18 April 2016, Accepted 5 May 2016, Available online 10 May 2016, Version of Record 20 May 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.05.009
