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TASE
2008
IEEE
14 years 11 months ago
New Hybrid Optimization Algorithms for Machine Scheduling Problems
Dynamic programming, branch-and-bound, and constraint programming are the standard solution principles for nding optimal solutions to machine scheduling problems. We propose a new ...
Yunpeng Pan, Leyuan Shi
ATAL
2008
Springer
15 years 1 months ago
Evaluating the performance of DCOP algorithms in a real world, dynamic problem
Complete algorithms have been proposed to solve problems modelled as distributed constraint optimization (DCOP). However, there are only few attempts to address real world scenari...
Robert Junges, Ana L. C. Bazzan
SARA
2009
Springer
15 years 3 months ago
Rewriting Constraint Models with Metamodels
An important challenge in constraint programming is to rewrite constraint models into executable programs calculating the solutions. This phase of constraint processing may requir...
Raphaël Chenouard, Laurent Granvilliers, Rica...
AAAI
2008
15 years 1 months ago
H-DPOP: Using Hard Constraints for Search Space Pruning in DCOP
In distributed constraint optimization problems, dynamic programming methods have been recently proposed (e.g. DPOP). In dynamic programming many valuations are grouped together i...
Akshat Kumar, Adrian Petcu, Boi Faltings
CDC
2010
IEEE
226views Control Systems» more  CDC 2010»
14 years 6 months ago
Fast primal-dual projected linear iterations for distributed consensus in constrained convex optimization
In this paper we study the constrained consensus problem, i.e. the problem of reaching a common point from the estimates generated by multiple agents that are constrained to lie in...
Ion Necoara, Ioan Dumitrache, Johan A. K. Suykens