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Reports (Research Report) Year : 2013

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

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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.
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Dates and versions

hal-00665421 , version 1 (01-02-2012)
hal-00665421 , version 2 (04-06-2013)

Identifiers

  • HAL Id : hal-00665421 , version 2

Cite

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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