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JMLR
2010
113views more  JMLR 2010»
14 years 8 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...
ACG
2009
Springer
15 years 6 months ago
A Study of UCT and Its Enhancements in an Artificial Game
Abstract. Monte-Carlo tree search, especially the UCT algorithm and its enhancements, have become extremely popular. Because of the importance of this family of algorithms, a deepe...
David Tom, Martin Müller
IMCSIT
2010
14 years 12 months ago
Enhanced Competitive Differential Evolution for Constrained Optimization
Abstract--The constrained optimization with differential evolution (DE) is addressed. A novel variant of competitive differential evolution with a hybridized search of feasibility ...
Josef Tvrdík, Radka Polakova
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 8 months ago
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems
Hyper-heuristics can be thought of as “heuristics to choose heuristics”. They are concerned with adaptively finding solution methods, rather than directly producing a solutio...
Gabriela Ochoa, Rong Qu, Edmund K. Burke
ACG
2006
Springer
15 years 8 months ago
Automatic Generation of Search Engines
A plethora of enhancements are available to be used together with the αβ search algorithm. There are so many, that their selection and implementation is a non-trivial task, even ...
Markian Hlynka, Jonathan Schaeffer