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» Strategies for Solving SAT in Grids by Randomized Search
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AI
2005
Springer
14 years 9 months ago
The distributed breakout algorithms
We present a new series of distributed constraint satisfaction algorithms, the distributed breakout algorithms, which is inspired by local search algorithms for solving the constr...
Katsutoshi Hirayama, Makoto Yokoo
GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
15 years 1 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
STOC
2004
ACM
142views Algorithms» more  STOC 2004»
15 years 9 months ago
Lower bounds for local search by quantum arguments
The problem of finding a local minimum of a black-box function is central for understanding local search as well as quantum adiabatic algorithms. For functions on the Boolean hype...
Scott Aaronson
ANOR
2004
116views more  ANOR 2004»
14 years 9 months ago
Approximations and Randomization to Boost CSP Techniques
Abstract. In recent years we have seen an increasing interest in combining constraint satisfaction problem (CSP) formulations and linear programming (LP) based techniques for solvi...
Carla P. Gomes, David B. Shmoys
IAT
2006
IEEE
15 years 3 months ago
A Multi-stage Graph Decomposition Algorithm for Distributed Constraint Optimisation
In this paper, we propose a novel approach to solving the distributed constraint optimisation problem (DCOP) that guarantees completeness, while having linear communication comple...
Terence H.-W. Law, Adrian R. Pearce