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Free Search Differential Evolution

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2 Author(s)
Omran, M.G.H. ; Dept. of Comput. Sci., Gulf Univ. for Sci. & Technol., Mishref ; Engelbrecht, A.P.

Free search differential evolution (FSDE) is a new, population-based meta-heuristic algorithm that is a hybrid of concepts from free search (FS), differential evolution (DE) and opposition-based learning. The performance of the proposed approach is investigated and compared with DE and one of the recent variants of DE when applied to ten benchmark functions. The experiments conducted show that FSDE provides excellent results with the added advantage of no parameter tuning.

Published in:

Evolutionary Computation, 2009. CEC '09. IEEE Congress on

Date of Conference:

18-21 May 2009

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