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JAIR
2006
92views more  JAIR 2006»
13 years 11 months ago
Dynamic Local Search for the Maximum Clique Problem
In this paper, we introduce DLS-MC, a new stochastic local search algorithm for the maximum clique problem. DLS-MC alternates between phases of iterative improvement, during which...
Wayne J. Pullan, Holger H. Hoos
SAC
2004
ACM
14 years 4 months ago
Solving the maximum clique problem by k-opt local search
This paper presents a local search algorithm based on variable depth search, called the k-opt local search, for the maximum clique problem. The k-opt local search performs add and...
Kengo Katayama, Akihiro Hamamoto, Hiroyuki Narihis...
EVOW
2007
Springer
14 years 5 months ago
Iterated k-Opt Local Search for the Maximum Clique Problem
Abstract. This paper presents a simple iterated local search metaheuristic incorporating a k-opt local search (KLS), called Iterated KLS (IKLS for short), for solving the maximum c...
Kengo Katayama, Masashi Sadamatsu, Hiroyuki Narihi...
HEURISTICS
2006
120views more  HEURISTICS 2006»
13 years 11 months ago
A study of ACO capabilities for solving the maximum clique problem
This paper investigates the capabilities of the Ant Colony Optimization (ACO) meta-heuristic for solving the maximum clique problem, the goal of which is to find a largest set of ...
Christine Solnon, Serge Fenet
GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
14 years 2 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