A Survey of Optimization by Building and Using Probabilistic Models (1999)

by Martin Pelikan , David E. Goldberg , Fernando Lobo
Venue:COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
Citations:275 - 82 self

Active Bibliography

1 F.G.: Introduction to estimation of distribution algorithms – Martin Pelikan, Mark W. Hauschild, O G. Lobo - 2012
1 Doctoral Thesis – Supervisor Ing, Josef Schwarz, Jiří Očenášek - 2002
22 Parallel estimation of distribution algorithms – Jiří Očenášek - 2002
37 Bayesian Optimization Algorithm, Decision Graphs, and Occam's Razor – Martin Pelikan, David. E. Goldberg, Kumara Sastry - 2001
88 Linkage Problem, Distribution Estimation, and Bayesian Networks – Martin Pelikan, Erick Cantu-Paz, David E. Goldberg - 2000
9 An introduction and survey of estimation of distribution algorithms – Mark Hauschild, Martin Pelikan - 2011
255 Hierarchical Bayesian Optimization Algorithm = Bayesian Optimization Algorithm + Niching + Local Structures – Martin Pelikan, David. E. Goldberg - 2001
42 Feature Subset Selection by Bayesian networks: a comparison with genetic and sequential algorithms – I. Inza, P. Larrañaga, B. Sierra
85 Escaping Hierarchical Traps with Competent Genetic Algorithms – Martin Pelikan, David. E. Goldberg - 2001
5 A Survey of Linkage Learning Techniques in Genetic and Evolutionary Algorithms – Ying-ping Chen, Tian-li Yu, Kumara Sastry, David E. Goldberg - 2007
1 BOA: The Bayesian Optimization Algorithm – Erick Cantú-Paz, Martin Pelikan, Martin Pelikan, David E. Goldberg, David E. Goldberg - 1999
6 Evolutionary Algorithms + Graphical Models = Scalable Black-Box Optimization – Martin Pelikan, Kumara Sastry, David E. Goldberg - 2001
3 MARLEDA: Effective Distribution Estimation through Markov Random Fields – Matthew Edward Alden - 2007
8 Evolutionary computations based on bayesian classifiers – Teresa Miquélez, Endika Bengoetxea, Pedro Larrañaga - 2004
1 Learning structure illuminates black boxes -- an introduction into Estimation of Distribution Algorithms – Jörn Grahl, Stefan Minner, Peter A. N. Bosman - 2006
45 Model-based search for combinatorial optimization – Mark Zlochin, Marco Dorigo - 2001
21 Combinatorial optimization by learning and simulation of Bayesian networks – Pedro Larrañaga, Ramon Etxeberria, José A. Lozano, José M. Peña - 2000
10 Inexact graph matching by means of Estimation of Distribution Algorithms – Endika Bengoetxea, Pedro Larrañaga, Isabelle Bloch, Aymeric Perchant, Claudia Boeres
222 Designing Efficient And Accurate Parallel Genetic Algorithms – Erick Cantú-Paz - 1999