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