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» A quantified distributed constraint optimization problem
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FUIN
2010
143views more  FUIN 2010»
13 years 5 months ago
Cluster Tree Elimination for Distributed Constraint Optimization with Quality Guarantees
Some distributed constraint optimization algorithms use a linear number of messages in the number of agents, but of exponential size. This is often the main limitation for their pr...
Ismel Brito, Pedro Meseguer
ATAL
2006
Springer
13 years 11 months ago
Multiply-constrained distributed constraint optimization
Distributed constraint optimization (DCOP) has emerged as a useful technique for multiagent coordination. While previous DCOP work focuses on optimizing a single team objective, i...
Emma Bowring, Milind Tambe, Makoto Yokoo
ATAL
2003
Springer
14 years 25 days ago
An asynchronous complete method for distributed constraint optimization
We present a new polynomial-space algorithm, called Adopt, for distributed constraint optimization (DCOP). DCOP is able to model a large class of collaboration problems in multi-a...
Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Mak...
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
14 years 29 days ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
ICPPW
2009
IEEE
13 years 5 months ago
Global Multiprocessor Real-Time Scheduling as a Constraint Satisfaction Problem
In this paper we address the problem of global real-time periodic scheduling on heterogeneous multiprocessor platforms. We give a solution based on a constraint satisfaction proble...
Liliana Cucu-Grosjean, Olivier Buffet