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ATAL
2009
Springer
14 years 2 months ago
Distributed constraint optimization with structured resource constraints
Distributed constraint optimization (DCOP) provides a framework for coordinated decision making by a team of agents. Often, during the decision making, capacity constraints on age...
Akshat Kumar, Boi Faltings, Adrian Petcu
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 28 days ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
ATAL
2005
Springer
14 years 29 days ago
Impact of problem centralization in distributed constraint optimization algorithms
Recent progress in Distributed Constraint Optimization Problems (DCOP) has led to a range of algorithms now available which differ in their amount of problem centralization. Probl...
John Davin, Pragnesh Jay Modi
CP
1998
Springer
13 years 11 months ago
Modelling CSP Solution Algorithms with Petri Decision Nets
The constraint paradigm provides powerful concepts to represent and solve different kinds of planning problems, e. g. factory scheduling. Factory scheduling is a demanding optimiz...
Stephan Pontow
BMCBI
2010
116views more  BMCBI 2010»
13 years 7 months ago
A hybrid approach to protein folding problem integrating constraint programming with local search
Background: The protein folding problem remains one of the most challenging open problems in computational biology. Simplified models in terms of lattice structure and energy func...
Abu Zafer M. Dayem Ullah, Kathleen Steinhöfel