A differential-based harmony search algorithm for the optimization of continuous problems
作者：
Highlights：
• We introduced a new harmony memory initialization method.
• We introduced a new pitch adjustment method based on DE/best/1 mutation strategy.
• We comprehensively studied the parameter setting of our algorithm.
• We compared our algorithm with the state of the art variants of HS algorithm.
• We compared our algorithm with the state of the art variants of DE algorithm.
摘要
•We introduced a new harmony memory initialization method.•We introduced a new pitch adjustment method based on DE/best/1 mutation strategy.•We comprehensively studied the parameter setting of our algorithm.•We compared our algorithm with the state of the art variants of HS algorithm.•We compared our algorithm with the state of the art variants of DE algorithm.
论文关键词：Harmony search algorithm,Continuous optimization,Evolutionary optimization,Differential evolution,Meta-heuristics
论文评审过程：Received 3 November 2015, Revised 4 February 2016, Accepted 7 May 2016, Available online 10 May 2016, Version of Record 25 June 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.05.013
