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

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.

Data and Resources

Additional Info

Field Value
Source https://inria.hal.science/hal-00665421
Author Humeau, Jérémie, Liefooghe, Arnaud, Talbi, El-Ghazali, Verel, Sébastien
Maintainer CCSD
Last Updated May 10, 2026, 21:01 (UTC)
Created May 10, 2026, 21:01 (UTC)
Identifier Report N°: RR-7871
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Parallel Cooperative Multi-criteria Optimization (DOLPHIN) ; Laboratoire d'Informatique Fondamentale de Lille (LIFL) ; Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)-Centre Inria de l'Université de Lille ; Institut National de Recherche en Informatique et en Automatique (Inria)
creator Humeau, Jérémie
date 2013-05-10T00:00:00
harvest_object_id 3e6c6a44-62d1-4993-8985-3b3efab46516
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-01-19T00:00:00
set_spec type:REPORT