An improved global-best harmony search algorithm for faster optimization

作者：

Highlights：

• A new initialization is employed based on opposition-based learning.

• A hybrid scheme for improvising a new harmony.

• A dynamically updating scheme for parameters adjustment.

• Two perturbed schemes for the best harmony.

摘要

•A new initialization is employed based on opposition-based learning.•A hybrid scheme for improvising a new harmony.•A dynamically updating scheme for parameters adjustment.•Two perturbed schemes for the best harmony.

论文关键词：Harmony search,Global-best harmony search,Periodic and sign function,Exploration and exploitation,Opposition-based learning,Numerical optimization

论文评审过程：Available online 18 March 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.03.016