Solving incremental MAX-SAT

被引:0
|
作者
Mouhoub, M [1 ]
机构
[1] Univ Regina, Dept Comp Sci, Regina, SK S4S 0A2, Canada
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暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The maximum satisfiability problem (MAX-SAT) consists of finding a truth assignment that satisfies the maximum possible number of clauses in a given formula in CNF form. In this paper, we introduce the incremental MAX-SAT problem which focuses on maintaining the maximum satisfiability of a propositional formula anytime a conjunction of new clauses is added. More precisely, the goal here is to check whether the maximum number of clauses is maintained after a new set of clauses is added and if not, look for a new maximum in an incremental manner. We will investigate the applicability of different methods based on exact and approximation algorithms for solving incremental MAX-SAT problems. The exact algorithm is a branch and bound technique while the approximation techniques rely on stochastic local search and genetic algorithms.
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页码:46 / 51
页数:6
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