Experiments in Parallel Constraint-Based Local Search

Yves Caniou 1 Philippe Codognet 2 Daniel Diaz 3 Salvador Abreu 4
1 LIP - Laboratoire de l'Informatique du Parallélisme
2 LIP6 - Laboratoire d'Informatique de Paris 6
3 CRI - Centre de Recherche en Informatique de Paris 1
4 CENTRIA - Centre for Artificial Intelligence
Abstract : We present a parallel implementation of a constraint-based local search algorithm and investigate its performance results on hardware with several hundreds of processors. We choose as basic constraint solving algorithm for these experiments the "adaptive search" method, an efficient sequential local search method for Constraint Satisfaction Problems. The implemented algorithm is a parallel version of adaptive search in a multiple independent-walk manner, that is, each process is an independent search engine and there is no communication between the simultaneous computations. Preliminary performance evaluation on a variety of classical CSPs benchmarks shows that speedups are very good for a few tens of processors, and good up to a few hundreds of processors.
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Conference papers
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https://hal-paris1.archives-ouvertes.fr/hal-00663789
Contributor : Daniel Diaz <>
Submitted on : Friday, January 27, 2012 - 3:23:21 PM
Last modification on : Friday, September 27, 2019 - 12:16:04 PM

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Yves Caniou, Philippe Codognet, Daniel Diaz, Salvador Abreu. Experiments in Parallel Constraint-Based Local Search. 11th European conference on Evolutionary computation in combinatorial optimization (EvoCOP'11), Apr 2011, Torino, Italy. pp.96-107, ⟨10.1007/978-3-642-20364-0_9⟩. ⟨hal-00663789⟩

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