ParadisEO-MO: From Fitness Landscape Analysis to Efficient Local Search Algorithms

Abstract : This document presents a general-purpose software framework dedicated to the design, the analysis and the implementation of local search algorithms: ParadisEO-MO. A substantial number of single-solution based local search metaheuristics has been proposed so far, and an attempt of unifying existing approaches is here presented. Based on a fine-grained decomposition, a conceptual model is proposed and is validated by regarding a number of state-of-the-art methodologies as simple variants of the same structure. This model is then incorporated into the ParadisEO-MO software framework. This framework has proven its efficiency and high flexibility by enabling the resolution of many academic and real-world optimization problems from science and industry.
Type de document :
[Research Report] RR-7871, INRIA. 2013
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Contributeur : Arnaud Liefooghe <>
Soumis le : mardi 4 juin 2013 - 15:29:47
Dernière modification le : lundi 5 novembre 2018 - 15:48:02
Document(s) archivé(s) le : jeudi 5 septembre 2013 - 04:23:28


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  • HAL Id : hal-00665421, version 2


Jérémie Humeau, Arnaud Liefooghe, El-Ghazali Talbi, Sébastien Verel. ParadisEO-MO: From Fitness Landscape Analysis to Efficient Local Search Algorithms. [Research Report] RR-7871, INRIA. 2013. 〈hal-00665421v2〉



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