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Hybridization of evolutionary algorithms and local search by means of a clustering method
2005
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
This paper presents a hybrid evolutionary algorithm (EA) to solve nonlinear-regression problems. Although EAs have proven their ability to explore large search spaces, they are comparatively inefficient in fine tuning the solution. This drawback is usually avoided by means of local optimization algorithms that are applied to the individuals of the population. The algorithms that use local optimization procedures are usually called hybrid algorithms. On the other hand, it is well known that the
doi:10.1109/tsmcb.2005.860138
pmid:16761808
fatcat:aa6oxelgbjdx5mpzhcjya2iexq