Two-stage eagle strategy with differential evolution
by Xin-She Yang; Suash Deb
International Journal of Bio-Inspired Computation (IJBIC), Vol. 4, No. 1, 2012

Abstract: 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.

Online publication date: Mon, 22-Sep-2014

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