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
Item ID: 9537
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Depositing User: Teddy ~
Date Deposited: 15 Nov 2012 14:45
Last Modified: 13 Oct 2016 14:25

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