Authors: Wenxing Zhu Yuanhui Yan
Publish Date: 2012/11/08
Volume: 8, Issue: 1, Pages: 359-374
Abstract
Satisfiability SAT and maximum satisfiability MAXSAT are difficult combinatorial problems that have many important realworld applications In this paper we investigate the performance of the dynamic convexized method based heuristics on the weighted MAXSAT problem We first present an auxiliary function which is constructed based on a penalty function and minimize the function by a local search method which can escape successfully from previously converged local minimizers by increasing the value of a parameter Two algorithms of the approach are implemented and compared with the Greedy Randomized Adaptive Search Procedure GRASP and the GRASP with Path Relinking GRASP + PR Experimental results illustrate efficient and faster convergence of our two algorithms
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