Searching for Optimization Through Satisfiability: Satisfiability Approaches in Maximum Satisfiability and Ai Planning - Zhao Xing - Books - LAP Lambert Academic Publishing - 9783838303277 - May 30, 2010
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Searching for Optimization Through Satisfiability: Satisfiability Approaches in Maximum Satisfiability and Ai Planning

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This book studies two optimization problems, maximum satisfiability and planing of satisfiability. The maximum satisfiability problem (max-SAT) is the optimization counterpart of the satisfiability problem (SAT). The goal of max-SAT is to maximize the number of clauses satisfied. planning as satisfiability is a class of planning aiming to achieve a plan with optimal resource, cost, or makespan by using the SAT approach. We present a mix- SAT formulation for these two optimization problems and examine to extend the Davis-Putnam-Logemann- Loveland (DPLL) procedure, which is the basic framework for the original SAT problem, for this mix- SAT formulation. We progressively develop a series of algorithms and reconsider many general SAT techniques for these two optimization problems.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released May 30, 2010
ISBN13 9783838303277
Publishers LAP Lambert Academic Publishing
Pages 220
Dimensions 225 × 12 × 150 mm   ·   346 g
Language German