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• W2288983359 abstract "NM-landscapes have been recently introduced as a class of tunable rugged models. They are a subset of the general interaction models where all the interactions are of order less or equal $M$. The Boltzmann distribution has been extensively applied in single-objective evolutionary algorithms to implement selection and study the theoretical properties of model-building algorithms. In this paper we propose the combination of the multi-objective NM-landscape model and the Boltzmann distribution to obtain Pareto-front approximations. We investigate the joint effect of the parameters of the NM-landscapes and the probabilistic factorizations in the shape of the Pareto front approximations." @default.
• W2288983359 created "2016-06-24" @default.
• W2288983359 creator A5034080501 @default.
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• W2288983359 date "2015-12-10" @default.
• W2288983359 modified "2023-09-27" @default.
• W2288983359 title "Computing factorized approximations of Pareto-fronts using mNM-landscapes and Boltzmann distributions." @default.
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• W2288983359 hasPublicationYear "2015" @default.
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