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

Arnaud Liefooghe 1, 2, * Laetitia Jourdan 1, 2 El-Ghazali Talbi 1, 2
* Auteur correspondant
1 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : 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.
Type de document :
Communication dans un congrès
IEEE Symposium on Computational intelligence in Multi-Criteria Decision-Making (IEEE~MCDM 2009), 2009, United States. pp.88--95, 2009
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https://hal.archives-ouvertes.fr/hal-00763710
Contributeur : Arnaud Liefooghe <>
Soumis le : mardi 11 décembre 2012 - 13:09:33
Dernière modification le : jeudi 21 février 2019 - 10:52:49

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  • HAL Id : hal-00763710, version 1

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Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi. A unified model for evolutionary multi-objective optimization and its implementation in a general purpose software framework. IEEE Symposium on Computational intelligence in Multi-Criteria Decision-Making (IEEE~MCDM 2009), 2009, United States. pp.88--95, 2009. 〈hal-00763710〉

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