Eagle strategy using Lévy walk and firefly algorithm for stochastic optimization
Yang, Xin-She and Deb, Suash (2010) Eagle strategy using Lévy walk and firefly algorithm for stochastic optimization. In: Nature Inspired Cooperative Strategies for Optimization (NICSO 2010). Studies in Computational Intelligence (284). Springer, pp. 101-111. ISBN 9783642125379
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Most global optimization problems are nonlinear and thus difficult to solve, and they become even more challenging when uncertainties are present in objective functions and constraints. This paper provides a new two-stage hybrid search method, called Eagle Strategy, for stochastic optimization. This strategy intends to combine the random search using L´evy walk with the firefly algorithm in an iterative manner. Numerical studies and results suggest that the proposed Eagle Strategy is very efficient for stochas- tic optimization. Finally practical implications and potential topics for further research will be discussed.
|Item Type:||Book Section|
|Research Areas:||Middlesex University Schools and Centres > School of Science and Technology > Design Engineering and Mathematics|
|Deposited On:||21 Nov 2012 15:20|
|Last Modified:||04 Dec 2014 17:07|
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