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Evolutionary predator and prey strategy for global optimization.

Authors :
Chen, J.J.
Wu, Q.H.
Ji, T.Y.
Wu, P.Z.
Li, M.S.
Source :
Information Sciences. Jan2016, Vol. 327, p217-232. 16p.
Publication Year :
2016

Abstract

This paper presents a novel evolutionary predator and prey strategy (EPPS) for global optimization. The EPPS is based on a dynamic predator-prey model stemmed from the study of animal group living behaviors. In the model, concepts of experienced predators, strategic predators, the prey and its safe location are developed to simulate three typical animal behaviors: scanning, hunting and escaping. To validate the applicability and practicability of EPPS, experiments were undertaken on a set of 20 benchmark functions and three real-world problems, respectively. The results show that EPPS has a more superior performance in comparison with other recently developed methods reported in the literature. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00200255
Volume :
327
Database :
Academic Search Index
Journal :
Information Sciences
Publication Type :
Periodical
Accession number :
110324963
Full Text :
https://doi.org/10.1016/j.ins.2015.08.014