A species-based flower pollination algorithm with increased selection pressure in abiotic local pollination and enhanced intensification

作者：

Highlights：

• A multi-population based FPA extension for multimodal environments.

• A modified natural selection based on symmetry.

• Techniques to avoid premature convergence and local optima.

• A step sizing function in order to control convergence speed in FPA.

• Encouraged intensification in FPA movements.

摘要

•A multi-population based FPA extension for multimodal environments.•A modified natural selection based on symmetry.•Techniques to avoid premature convergence and local optima.•A step sizing function in order to control convergence speed in FPA.•Encouraged intensification in FPA movements.

论文关键词：Flower pollination algorithm,Bio-inspired metaheuristics,Multi-population algorithms,Global optimization

论文评审过程：Received 18 December 2020, Revised 2 May 2021, Accepted 3 May 2021, Available online 6 May 2021, Version of Record 7 May 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107125