Flower Pollination Algorithm with Invasive Weed Optimization

Authors

Huihui Xiao, 1. College of Computer and Information Engineering, Hechi University, Yizhou 546300, China; ;2. School of Information and Technology, Jiangxi University of Finance and Economics, Nanchang 330013, China;
Yanming Duan, 1. College of Computer and Information Engineering, Hechi University, Yizhou 546300, China; ;

Abstract

Abstract: In order to overcome the problems of easily relapsing into local extremum and low speed of convergence, a flower pollination algorithm with invaded weeds strategy was propsed. The algorithm generate dynamically populations, and creased the diversity and effectiveness of population by breeding, spatial diffusion and competition of invasive weeds. It could effectively avoid local optimum, enhance the capacity of global optimization, and improve the convergence speed. The comparison and analysis results of the 8 CEC2005 benchmark functions, the simulation results show that the proposed algorithm has the advantages of better global searching ability, faster convergence and more precise convergence than those of the basic flower pollination algorithm, differential evolution algorithm and bat algorithm.

Recommended Citation

Xiao, Huihui and Duan, Yanming (2020) "Flower Pollination Algorithm with Invasive Weed Optimization," Journal of System Simulation: Vol. 29: Iss. 2, Article 5.
DOI: 10.16182/j.issn1004731x.joss.201702005
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss2/5

First Page

264

Revised Date

2015-06-18

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201702005

Last Page

272

CLC

TP301.6

Recommended Citation

Xiao Huihui, Duan Yanming. Flower Pollination Algorithm with Invasive Weed Optimization[J]. Journal of System Simulation, 2017, 29(2): 264-272.

DOI

10.16182/j.issn1004731x.joss.201702005