A population initialization method for evolutionary algorithms based on clustering and Cauchy deviates

Abstract

The initial population of an evolutionary algorithm is an important factor which affects the convergence rate and ultimately its ability to find high quality solutions or satisfactory solutions for that matter. If composed of good individuals it may bias the search towards promising regions of the search space right from the beginning. Although, if no… (More)
DOI: 10.1016/j.eswa.2016.05.009

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