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» Solving the maximum clique problem by k-opt local search
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GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
13 years 9 months ago
How randomized search heuristics find maximum cliques in planar graphs
Surprisingly, general search heuristics often solve combinatorial problems quite sufficiently, although they do not outperform specialized algorithms. Here, the behavior of simple...
Tobias Storch
JSAT
2010
132views more  JSAT 2010»
13 years 3 days ago
The Impact of Max-SAT Resolution-Based Preprocessors on Local Search Solvers
In this paper we analyze three well-known preprocessors for Max-SAT. The first preprocessor is based on the so-called variable saturation. The second preprocessor is based on the ...
Federico Heras, David Bañeres
LION
2007
Springer
138views Optimization» more  LION 2007»
13 years 11 months ago
A Continuous Characterization of Maximal Cliques in k-Uniform Hypergraphs
Abstract. In 1965 Motzkin and Straus established a remarkable connection between the local/global maximizers of the Lagrangian of a graph G over the standard simplex ∆ and the ma...
Samuel Rota Bulò, Marcello Pelillo
GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
13 years 3 months ago
Parallel shared memory strategies for ant-based optimization algorithms
This paper describes a general scheme to convert sequential ant-based algorithms into parallel shared memory algorithms. The scheme is applied to an ant-based algorithm for the ma...
Thang Nguyen Bui, ThanhVu H. Nguyen, Joseph R. Riz...
IJCAI
2003
13 years 6 months ago
Backbone Guided Local Search for Maximum Satisfiability
Maximum satisfiability (Max-SAT) is more general and more difficult to solve than satisfiability (SAT). In this paper, we first investigate the effectiveness of Walksat, one of th...
Weixiong Zhang, Ananda Rangan, Moshe Looks