Eagle strategy using Lévy walk and firefly algorithm for stochastic optimization

Yang, Xin-She ORCID: https://orcid.org/0000-0001-8231-5556 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. [Book Section]

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.

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