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

Full text is not in this repository.

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:Middlesex University Schools and Centres > School of Science and Technology > Design Engineering and Mathematics
ID Code:9584
Useful Links:
Deposited On:21 Nov 2012 15:20
Last Modified:04 Dec 2014 17:07

Repository staff only: item control page

Full text downloads (NB count will be zero if no full text documents are attached to the record)

Downloads per month over the past year