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A unified model for evolutionary multi-objective optimization and its implementation in a general purpose software framework

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3 Author(s)
Liefooghe, A. ; LIFL, Univ. des Sci. et Technol. de Lille, Villeneuve d''Ascq ; Jourdan, L. ; Talbi, E.

The aim of this paper is to propose a unified view of evolutionary approaches for multi-objective optimization. Following three main issues dealing with fitness assignment, diversity preservation and elitism, a robust and flexible model, based on a fine-grained decomposition, is introduced. This model is validated by demonstrating how state-of-the-art methods can conveniently fit into it. Then, a modular implementation is proposed and is successfully integrated in a general purpose software framework dedicated to the reusable design of evolutionary multi-objective optimization techniques.

Published in:

Computational intelligence in miulti-criteria decision-making, 2009. mcdm '09. ieee symposium on

Date of Conference:

March 30 2009-April 2 2009

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