Optimization by learning and simulation of Bayesian and Gaussian networks (1999)

Cached

Download Links

by P. Larrañaga , R. Etxeberria , J. A. Lozano , J.M. Peña , J. M. Pe~na
Citations:43 - 6 self

Documents Related by Co-Citation

278 A Survey of Optimization by Building and Using Probabilistic Models – Martin Pelikan, David E. Goldberg, Fernando Lobo - 1999
255 Hierarchical Bayesian Optimization Algorithm = Bayesian Optimization Algorithm + Niching + Local Structures – Martin Pelikan, David. E. Goldberg - 2001
131 MIMIC: Finding Optima by Estimating Probability Densities – Jeremy S. De Bonet, Charles L. Isbell, Jr., Paul Viola - 1996
193 Linkage Learning via Probabilistic Modeling in the ECGA – Georges Harik, Georges Harik - 1999
44 Continuous Iterated Density Estimation Evolutionary Algorithms Within The IDEA Framework – Peter A. N. Bosman, Dirk Thierens - 2000
301 Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning – Shumeet Baluja - 1994
114 Using Optimal Dependency-Trees for Combinatorial Optimization: Learning the Structure of the Search Space – Shumeet Baluja, Scott Davies - 1997
62 FDA - A scalable evolutionary algorithm for the optimization of additively decomposed functions – Heinz Mühlenbein, Thilo Mahnig - 1999
231 A Parameter-Less Genetic Algorithm – Georges R. Harik, Fernando G. Lobo - 1999
24 An Algorithmic Framework For Density Estimation Based Evolutionary Algorithms – Peter A. N. Bosman, Dirk Thierens - 1999
239 From recombination of genes to the estimation of distributions I. binary parameters – H. Mühlenbein, G. Paaß - 1996
38 Linkage Information Processing In Distribution Estimation Algorithms – Peter A.N. Bosman, Dirk Thierens, Peter A. N, Bosman Dirk Thierens - 1999
59 Extending Population-Based Incremental Learning to Continuous Search Spaces – Michèle Sebag, Antoine Ducoulombier - 1998
90 The Bivariate Marginal Distribution Algorithm – Martin Pelikan, Heinz Mühlenbein - 1999
178 Removing The Genetics from The Standard Genetic Algorithm – Shumeet Baluja, Rich Caruana - 1995
27 Real-valued Evolutionary Optimization using a Flexible Probability Density Estimator – Marcus Gallagher, Marcus Frean, Tom Downs - 1999
103 The Equation for the Response to Selection and Its Use for Prediction – H. Mühlenbein - 1997
89 Schemata, Distributions and Graphical Models in Evolutionary Optimization – Heinz Mühlenbein, Thilo Mahnig, Alberto Ochoa Rodriguez - 1999
184 Propagating uncertainty in Bayesian networks by probabilistic logic sampling – M Henrion - 1988