Eagle Strategy Using Lévy Walk and Firefly Algorithms for Stochastic Optimization
نویسندگان
چکیده
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 Lévy walk with the firefly algorithm in an iterative manner. Numerical studies and results suggest that the proposed Eagle Strategy is very efficient for stochastic optimization. Finally practical implications and potential topics for further research will be discussed. Citation detail: X.-S. Yang and S. Deb, Eagle strategy using Levy walk and firefly algorithms for stochastic optimization, in: Nature Inspired Cooperative Strategies for Optimization (NISCO 2010) (Eds. J. R. Gonzalez et al., Studies in Computational Intelligence, Springer Berlin, 284, 101-111 (2010).
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