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MOR
2000
67views more  MOR 2000»
13 years 7 months ago
Superlinear Convergence of an Interior-Point Method Despite Dependent Constraints
We show that an interior-pointmethodfor monotonevariationalinequalitiesexhibits superlinear convergence provided that all the standard assumptions hold except for the well-known as...
Daniel Ralph, Stephen J. Wright
AGENTS
2000
Springer
13 years 11 months ago
From one virtual actor to virtual crowds: requirements and constraints
A crowd is not only a group of many individuals. Crowd modelling involves problems that arise only when we focus on crowds. For instance, avoiding collision problems related to a ...
Soraia Raupp Musse, Daniel Thalmann
ICDCS
2000
IEEE
14 years 7 hour ago
The Effect of Nogood Learning in Distributed Constraint Satisfaction
We present resolvent-based learning as a new nogood learning method for a distributed constraint satisfaction algorithm. This method is based on a look-back technique in constrain...
Makoto Yokoo, Katsutoshi Hirayama
CSUR
2000
69views more  CSUR 2000»
13 years 7 months ago
The framework approach for constraint satisfaction
: Constraint satisfaction programming (CSP) is a powerful paradigm for solving complex combinatorial problems, which has gained a lot of attention recently. Putting the power of co...
Pierre Roy, Anne Liret, François Pachet
ECAI
2000
Springer
13 years 11 months ago
Solving Permutation Constraint Satisfaction Problems with Artificial Ants
Abstract. We describe in this paper Ant-P-solver, a generic constraint solver based on the Ant Colony Optimization (ACO) metaheuristic. The ACO metaheuristic takes inspiration on t...
Christine Solnon