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:34 - 6 self

Documents Related by Co-Citation

241 A Survey of Optimization by Building and Using Probabilistic Models – Martin Pelikan, David E. Goldberg, Fernando Lobo - 1999
219 Hierarchical Bayesian Optimization Algorithm = Bayesian Optimization Algorithm + Niching + Local Structures – Martin Pelikan, David. E. Goldberg - 2001
118 MIMIC: Finding Optima by Estimating Probability Densities – Jeremy S. De Bonet, Charles L. Isbell, Jr., Paul Viola - 1996
178 Linkage Learning via Probabilistic Modeling in the ECGA – Georges Harik, Georges Harik - 1999
40 Continuous Iterated Density Estimation Evolutionary Algorithms Within The IDEA Framework – Peter A. N. Bosman, Dirk Thierens - 2000
257 Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning – Shumeet Baluja - 1994
190 A Parameter-Less Genetic Algorithm – Georges R. Harik, Fernando G. Lobo - 1999
20 An Algorithmic Framework For Density Estimation Based Evolutionary Algorithms – Peter A.N. Bosman, Dirk Thierens, Peter A. N, Bosman Dirk Thierens - 1999
51 Extending Population-Based Incremental Learning to Continuous Search Spaces – Michèle Sebag, Antoine Ducoulombier - 1998
111 Using Optimal Dependency-Trees for Combinatorial Optimization: Learning the Structure of the Search Space – Shumeet Baluja, Scott Davies - 1997
56 FDA - A scalable evolutionary algorithm for the optimization of additively decomposed functions – Heinz Mühlenbein, Thilo Mahnig - 1999
205 From recombination of genes to the estimation of distributions I. binary parameters – H. Mühlenbein, G. Paaß - 1996
34 Linkage Information Processing In Distribution Estimation Algorithms – Peter A.N. Bosman, Dirk Thierens, Peter A. N, Bosman Dirk Thierens - 1999
83 The Bivariate Marginal Distribution Algorithm – Martin Pelikan, Heinz Mühlenbein - 1999
16 Mixed IDEAs – Peter A. N. Bosman, Dirk Thierens - 2000
150 Removing the Genetics from the Standard Genetic Algorithm – Shumeet Baluja, Rich Caruana - 1995
30 FDA - a scalable evolutionary algorithm for the optimization of additively decomposed functions – T Mahnig, H Muhlenbein - 1999
19 D.: Telephone network traffic overloading diagnosis and evolutionary computation techniques – I Servet, L Trave-Massuyes, Stern - 1997
25 Global Optimization with Bayesian Networks – R Etxeberria, P Larrañaga - 1999