Two-stage eagle strategy with differential evolution

Yang, Xin-She and Deb, Suash (2012) Two-stage eagle strategy with differential evolution. International Journal of Bio-Inspired Computation, 4 (1). pp. 1-5. ISSN 1758-0366

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Efficiency of an optimisation process is largely determined by the search algorithm and its fundamental characteristics. In a given optimisation, a single type of algorithm is used in most applications. In this paper, we will investigate the eagle strategy recently developed for global optimisation, which uses a two-stage strategy by combing two different algorithms to improve the overall search efficiency. We will discuss this strategy with differential evolution and then evaluate their performance by solving real-world optimisation problems such as pressure vessel and speed reducer design. Results suggest that we can reduce the computing effort by a factor of up to ten in many applications. (from publisher's website)

Item Type:Article
Keywords (uncontrolled):bat algorithm; cuckoo search; eagle strategy; bio-inspired computation; differential evolution; global optimisation; pressure vessel design; speed reducer design.
Research Areas:A. > School of Science and Technology > Design Engineering and Mathematics
ID Code:9537
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Deposited On:15 Nov 2012 14:45
Last Modified:27 Mar 2015 12:01

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