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» Computational Complexity of Constraint Satisfaction
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GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
14 years 1 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...
ATAL
2006
Springer
14 years 22 days ago
Learning to identify winning coalitions in the PAC model
We consider PAC learning of simple cooperative games, in which the coalitions are partitioned into "winning" and "losing" coalitions. We analyze the complexity...
Ariel D. Procaccia, Jeffrey S. Rosenschein
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 10 months ago
ASAGA: an adaptive surrogate-assisted genetic algorithm
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
Liang Shi, Khaled Rasheed
BMCBI
2010
62views more  BMCBI 2010»
13 years 9 months ago
Forward-time simulation of realistic samples for genome-wide association studies
Background: Forward-time simulations have unique advantages in power and flexibility for the simulation of genetic samples of complex human diseases because they can closely mimic...
Bo Peng, Christopher I. Amos
CORR
2010
Springer
87views Education» more  CORR 2010»
13 years 7 months ago
Using Evolution Strategy with Meta-models for Well Placement Optimization
Optimum implementation of non-conventional wells allows us to increase considerably hydrocarbon recovery. By considering the high drilling cost and the potential improvement in we...
Zyed Bouzarkouna, Didier Yu Ding, Anne Auger