PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Not all parents are equal for MO-CMA-ES
Ilya Loshchilov, Marc Schoenauer and Michele Sebag
In: EMO 2011, 5-8 April 2011, Ouro Preto, Brazil.

Abstract

The Steady State variants of the Multi-Objective Covariance Matrix Adaptation Evolution Strategy (SS-MO-CMA-ES) generate one offspring from a uniformly selected parent. Some other parental selection operators for SS-MO-CMA-ES are investigated in this paper. These operators involve the definition of multi-objective rewards, estimating the expectation of the offspring survival and its Hypervolume contribution. Two selection modes, respectively using tournament, and inspired from the Multi-Armed Bandit framework, are used on top of these rewards. Extensive experimental validation comparatively demonstrates the merits of these new selection operators on unimodal MO problems.

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EPrint Type:Conference or Workshop Item (Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:9242
Deposited By:Marc Schoenauer
Deposited On:21 February 2012