A Modified Flower Pollination Algorithm for Global Optimization

作者：

Highlights：

• An enhanced version of the Flower Pollination Algorithm (FPA) is proposed.

• Testing is performed using 23 optimization benchmark problems.

• The proposed algorithm is compared with five well-known optimization algorithms.

• Experimental results show the superiority of the proposed algorithm.

摘要

•An enhanced version of the Flower Pollination Algorithm (FPA) is proposed.•Testing is performed using 23 optimization benchmark problems.•The proposed algorithm is compared with five well-known optimization algorithms.•Experimental results show the superiority of the proposed algorithm.

论文关键词：Nature-inspired algorithms,Clonal Selection Algorithm,Flower Pollination Algorithm,Global Optimization

论文评审过程：Received 10 November 2015, Revised 24 March 2016, Accepted 24 March 2016, Available online 29 March 2016, Version of Record 9 April 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.03.047