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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Abstract

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: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 9584
Useful Links:
Depositing User: Teddy ~
Date Deposited: 21 Nov 2012 15:20
Last Modified: 13 Oct 2016 14:25
URI: http://eprints.mdx.ac.uk/id/eprint/9584

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