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JMLR
2010
113views more  JMLR 2010»
14 years 5 months ago
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru M...
FLAIRS
2004
15 years 15 days ago
CSAA: A Distributed Ant Algorithm Framework for Constraint Satisfaction
In this paper the distributed Constraint Satisfaction Ant Algorithm (CSAA) framework is presented. It uses an ant-based system for the distributed solving of constraint satisfacti...
Koenraad Mertens, Tom Holvoet
PPSN
1992
Springer
15 years 3 months ago
Nonstationary Function Optimization using the Structured Genetic Algorithm
In this paper, we describe the application of a new type of genetic algorithm called the Structured Genetic Algorithm (sGA) for function optimization in nonstationary environments...
Dipankar Dasgupta, Douglas R. McGregor
COR
2006
98views more  COR 2006»
14 years 11 months ago
Exploiting semidefinite relaxations in constraint programming
Constraint programming uses enumeration and search tree pruning to solve combinatorial optimization problems. In order to speed up this solution process, we investigate the use of...
Willem Jan van Hoeve
95
Voted
CDC
2009
IEEE
154views Control Systems» more  CDC 2009»
15 years 3 months ago
On the optimal design of structured feedback gains for interconnected systems
— We consider the design of optimal static feedback gains for interconnected systems subject to architectural constraints on the distributed controller. These constraints are in ...
Makan Fardad, Fu Lin, Mihailo R. Jovanovic