4.7 Article

Evolutionary predator and prey strategy for global optimization

期刊

INFORMATION SCIENCES
卷 327, 期 -, 页码 217-232

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2015.08.014

关键词

Escaping; Evolutionary algorithm; Global optimization; Predator-prey; Safe location

资金

  1. State Key Program of National Natural Science of China [51437006]
  2. Guangdong Innovative Research Team Program, Guangdong, China [201001N0104744201]
  3. Shenzhen Basic Research Program [JCYJ20130401170306880]

向作者/读者索取更多资源

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. (C) 2015 Elsevier Inc. All rights reserved.

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