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Authors: Luís O. Rigo Jr. and Valmir C. Barbosa

Affiliation: Universidade Federal do Rio de Janeiro, Brazil

ISBN: 978-989-8425-83-6

Keyword(s): MAX-SAT, MAX-SAT heuristics, Initial truth assignments.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: MAX-SAT heuristics normally operate from random initial truth assignments to the variables. We consider the use of what we call preambles, which are sequences of variables with corresponding single-variable assignment actions intended to be used to determine a more suitable initial truth assignment for a given problem instance and a given heuristic. For a number of well established MAX-SAT heuristics and benchmark instances, we demonstrate that preambles can be evolved by a genetic algorithm such that the heuristics are outperformed in a significant fraction of the cases. The heuristics we consider include the well-known novelty, walksat-tabu, and adaptnovelty+. Our benchmark instances are those of the 2004 SAT competition and those of the 2008 MAX-SAT evaluation.

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Paper citation in several formats:
O. Rigo Jr., L. and C. Barbosa, V. (2011). EVOLVED PREAMBLES FOR MAX-SAT HEURISTICS.In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011) ISBN 978-989-8425-83-6, pages 23-31. DOI: 10.5220/0003660400230031

@conference{ecta11,
author={Luís O. Rigo Jr.. and Valmir C. Barbosa.},
title={EVOLVED PREAMBLES FOR MAX-SAT HEURISTICS},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)},
year={2011},
pages={23-31},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003660400230031},
isbn={978-989-8425-83-6},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)
TI - EVOLVED PREAMBLES FOR MAX-SAT HEURISTICS
SN - 978-989-8425-83-6
AU - O. Rigo Jr., L.
AU - C. Barbosa, V.
PY - 2011
SP - 23
EP - 31
DO - 10.5220/0003660400230031

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