24 research outputs found

    Inflationary differential evolution for Constrained Multi-Objective Optimisation Problem

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    In this paper we review several parameter-based scalarisation approaches used within Multi-Objective Optimisation. We propose then a proof-of-concept for a new memetic algorithm designed to solve the Constrained Multi-Objective Optimisation Problem. The algorithm is finally tested on a benchmark with a series of difficulties

    Optimality conditions in nonconvex optimization via weak subdifferentials

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    In this paper we study optimality conditions for optimization problems described by a special class of directionally differentiable functions. The well-known necessary and sufficient optimality condition of nonsmooth convex optimization, given in the form of variational inequality, is generalized to the nonconvex case by using the notion of weak subdifferentials. The equivalent formulation of this condition in terms of weak subdifferentials and augmented normal cones is also presented. © 2011 Elsevier Ltd. All rights reserved

    Preface: Special issue of JOGO MEC EurOPT 2010-Izmir

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    A novel piecewise linear classifier based on polyhedral conic and max-min separabilities

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