ParadisEO: A Framework for the Reusable Design of Parallel and Distributed Metaheuristics

By S. Cahon, N. Melab, El-Ghazali Talbi. J. Heuristics, 2004

390 citations recorded by the source corpus.

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A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems (2021, positive): “Thus, if the problem at hand is single-objective, then ECJ, HeuristicLab, Pagmo/Pygmo, ParadisEO, or NiaPy oﬀers a wide range of features and algorithms to deal with it.”
Hybrid metaheuristics in combinatorial optimization: A survey (2011, background): “One of the most powerful ones is ParadisEO [28].”
A unified solution framework for multi-attribute vehicle routing problems (2014, methodology): “Some related designs have been used in the combinatorial optimization literature to build generalpurpose heuristic solvers or software libraries (e.g., Fink and Voss 2003, Cahon et al. 2004), hyperheuristics (Burke et al. 2010), and cooperative methods (Crainic and Toulouse 2010).”
Biips: Software for Bayesian Inference with Interacting Particle Systems (2014, methodology): “Several softwares have been developed over the past few years, such as EASEA (Collet et al. 2000), Evolver 5 or ParadisEO (Cahon et al. 2004).”
Computational models and heuristic methods for Grid scheduling problems (2010, neutral): “For instance, the Mallba library [35], Paradiseo [36] and EasyLocal + + [37] are such libraries.”