Predator-prey Dynamics-based Optimization

Authors

Qiuqin Lu, School of Management, Xi'an University of Architecture and Technology, Xi'an 710055, China;
Guangqiu Huang, School of Management, Xi'an University of Architecture and Technology, Xi'an 710055, China;

Abstract

Abstract: To solve the complex function optimization problem, a predator-prey dynamics optimization algorithm is proposed. The algorithm assumes that there are two species of predator and prey in an ecosystem. There is competition among the same species, the higher the population density, the more intense the competition, and then characteristics of populations are more likely to produce changes; strong populations are more likely to defeat weak populations when competition, and thus to obtain significant changes in their own characteristics. When predator populations eat prey populations, their characteristics also change. The competition operator, the predator-prey operator and the growth operator are constructed by use of the above relationship of ecosystem phenomena, these operators are helpful to make the search jump out of the local trap. The algorithm is globally convergent and can be used to solve a class of extremely complex optimization problems.

Recommended Citation

Lu, Qiuqin and Huang, Guangqiu (2019) "Predator-prey Dynamics-based Optimization," Journal of System Simulation: Vol. 30: Iss. 10, Article 45.
DOI: 10.16182/j.issn1004731x.joss.201810045
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss10/45

First Page

3975

Revised Date

2017-01-19

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201810045

Last Page

3984

CLC

TP301.6

Recommended Citation

Lu Qiuqin, Huang Guangqiu. Predator-prey Dynamics-based Optimization[J]. Journal of System Simulation, 2018, 30(10): 3975-3984.

DOI

10.16182/j.issn1004731x.joss.201810045