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» Anytime Local Search for Distributed Constraint Optimization
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SAT
2010
Springer
165views Hardware» more  SAT 2010»
13 years 3 months ago
An Empirical Study of Optimal Noise and Runtime Distributions in Local Search
This paper presents a detailed empirical study of local search for Boolean satisfiability (SAT), highlighting several interesting properties, some of which were previously unknown...
Lukas Kroc, Ashish Sabharwal, Bart Selman
CP
2000
Springer
13 years 9 months ago
New Search Heuristics for Max-CSP
Abstract. This paper evaluates the power of a new scheme that generates search heuristics mechanically. This approach was presented and evaluated rst in the context of optimization...
Kalev Kask
AAAI
2000
13 years 6 months ago
Depth-First Branch-and-Bound versus Local Search: A Case Study
Depth-first branch-and-bound (DFBnB) is a complete algorithm that is typically used to find optimal solutions of difficult combinatorial optimization problems. It can also be adap...
Weixiong Zhang
CSCLP
2008
Springer
13 years 6 months ago
IDB-ADOPT: A Depth-First Search DCOP Algorithm
Abstract. Many agent coordination problems can be modeled as distributed constraint optimization problems (DCOPs). ADOPT is an asynchronous and distributed search algorithm that is...
William Yeoh, Ariel Felner, Sven Koenig
EC
2007
167views ECommerce» more  EC 2007»
13 years 4 months ago
Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime
Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good per...
Sylvain Gelly, Sylvie Ruette, Olivier Teytaud