A clustering based multiobjective evolutionary algorithm

Abstract

In this paper, we propose a clustering based multiobjective evolutionary algorithm (CLUMOEA) to deal with the multiobjective optimization problems with irregular Pareto front shapes. CLUMOEA uses a k-means clustering method to discover the population structure by partitioning the solutions into several clusters, and it only allows the solutions in the same… (More)
DOI: 10.1109/CEC.2014.6900519

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