Abstract | ||
---|---|---|
. Computing the optimal solution to an instance of the weighted maximum satisfiabilityproblem (MAX-SAT) is difficult even when each clause contains at most two literals. In this paper,we describe a greedy randomized adaptive search procedure (GRASP) for computing approximatesolutions of weighted MAX-SAT problems. The heuristic is tested on a large set of test instances.Computational experience indicates the suitability of GRASP for this class of problems.Key words. Combinatorial... |
Year | Venue | Field |
---|---|---|
1996 | Satisfiability Problem: Theory and Applications | Maximum satisfiability problem,Mathematical optimization,GRASP,Discrete optimization,Computer science,Greedy randomized adaptive search procedure,Approximate solution |
DocType | Volume | Citations |
Conference | 35 | 34 |
PageRank | References | Authors |
5.14 | 2 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mauricio G. C. Resende | 1 | 3729 | 336.98 |
Leonidas S. Pitsoulis | 2 | 170 | 22.11 |
Panos M. Pardalos | 3 | 3720 | 397.84 |