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AISC
2004
Springer
14 years 27 days ago
Combination of Nonlinear Terms in Interval Constraint Satisfaction Techniques
Nonlinear constraint systems can be solved by combining consistency techniques and search. In this approach, the search space is reduced using local reasoning on constraints. Howev...
Laurent Granvilliers, Mina Ouabiba
EVOW
2006
Springer
13 years 11 months ago
Divide-and-Evolve: A New Memetic Scheme for Domain-Independent Temporal Planning
An original approach, termed Divide-and-Evolve is proposed to hybridize Evolutionary Algorithms (EAs) with Operational Research (OR) methods in the domain of Temporal Planning Prob...
Marc Schoenauer, Pierre Savéant, Vincent Vi...
MP
2002
165views more  MP 2002»
13 years 7 months ago
A feasible semismooth asymptotically Newton method for mixed complementarity problems
Semismooth Newton methods constitute a major research area for solving mixed complementarity problems (MCPs). Early research on semismooth Newton methods is mainly on infeasible me...
Defeng Sun, Robert S. Womersley, Houduo Qi
ACG
2006
Springer
14 years 1 months ago
Recognizing Seki in Computer Go
Seki is a situation of coexistence in the game of Go, where neither player can profitably capture the opponent’s stones. This paper presents a new method for deciding whether an...
Xiaozhen Niu, Akihiro Kishimoto, Martin Mülle...
AAAI
1992
13 years 8 months ago
On the Minimality and Decomposability of Constraint Networks
Constraint networks have been shown to be useful in formulating such diverse problems as scene labeling, natural language parsing, and temporal reasoning. Given a constraint netwo...
Peter van Beek