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A Genetic Algorithm for Probabilistic SAT Problem

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Artificial Intelligence and Soft Computing - ICAISC 2004 (ICAISC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3070))

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Abstract

We describe new results in developing of a satisfiability checker for probabilistic logic based on the genetic algorithm approach combined with a local search procedure. Computational experiences show that problems with 200 propositional letters can be solved. They are, to the best of our knowledge, the largest PSAT-problems reported in the literature.

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Ognjanović, Z., Midić, U., Kratica, J. (2004). A Genetic Algorithm for Probabilistic SAT Problem. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_68

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  • DOI: https://doi.org/10.1007/978-3-540-24844-6_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22123-4

  • Online ISBN: 978-3-540-24844-6

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