An Improved Moth-Flame Optimization algorithm with hybrid search phase
作者：
Highlights：
• Definition of a hybrid phase to achieve a good trade-off between exploration and exploitation phases.
• Introduction of a dynamic crossover mechanism for reproducing flames to enhance the population diversity.
• Definition of fitness depended weight factor for moths positions calculations to improve the exploitation phase.
摘要
•Definition of a hybrid phase to achieve a good trade-off between exploration and exploitation phases.•Introduction of a dynamic crossover mechanism for reproducing flames to enhance the population diversity.•Definition of fitness depended weight factor for moths positions calculations to improve the exploitation phase.
论文关键词：Evolutionary algorithms,Moth flame optimization,Constrained optimization,Nature-inspired algorithms
论文评审过程：Received 12 June 2019, Revised 12 November 2019, Accepted 24 November 2019, Available online 27 November 2019, Version of Record 8 February 2020.
论文官网地址：https://doi.org/10.1016/j.knosys.2019.105277
