Adaptation, Learning, and Optimization - Markov Networks in Evolutionary Computation
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Published By Springer Berlin Heidelberg

9783642288999, 9783642289002

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Convergence Theorems of Estimation of Distribution Algorithms

Adaptation, Learning, and Optimization - Markov Networks in Evolutionary Computation ◽

10.1007/978-3-642-28900-2_6 ◽

2012 ◽

pp. 91-108 ◽

Cited By ~ 6

Author(s):

Heinz Mühlenbein

Keyword(s):

Estimation Of Distribution Algorithms ◽

Convergence Theorems ◽

Estimation Of Distribution ◽

Distribution Algorithms

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Fast Fitness Improvements in Estimation of Distribution Algorithms Using Belief Propagation

Adaptation, Learning, and Optimization - Markov Networks in Evolutionary Computation ◽

10.1007/978-3-642-28900-2_9 ◽

2012 ◽

pp. 141-155 ◽

Cited By ~ 3

Author(s):

Alexander Mendiburu ◽

Roberto Santana ◽

Jose A. Lozano

Keyword(s):

Belief Propagation ◽

Estimation Of Distribution Algorithms ◽

Estimation Of Distribution ◽

Distribution Algorithms

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Applications of Distribution Estimation Using Markov Network Modelling (DEUM)

Adaptation, Learning, and Optimization - Markov Networks in Evolutionary Computation ◽

10.1007/978-3-642-28900-2_12 ◽

2012 ◽

pp. 193-207 ◽

Cited By ~ 3

Author(s):

John McCall ◽

Alexander Brownlee ◽

Siddhartha Shakya

Keyword(s):

Network Modelling ◽

Markov Network ◽

Distribution Estimation

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Probabilistic Graphical Models and Markov Networks

Adaptation, Learning, and Optimization - Markov Networks in Evolutionary Computation ◽

10.1007/978-3-642-28900-2_1 ◽

2012 ◽

pp. 3-19 ◽

Cited By ~ 1

Author(s):

Roberto Santana ◽

Siddhartha Shakya

Keyword(s):

Graphical Models ◽

Probabilistic Graphical Models ◽

Markov Networks

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EDA-RL: EDA with Conditional Random Fields for Solving Reinforcement Learning Problems

Adaptation, Learning, and Optimization - Markov Networks in Evolutionary Computation ◽

10.1007/978-3-642-28900-2_14 ◽

2012 ◽

pp. 227-239

Author(s):

Hisashi Handa

Keyword(s):

Reinforcement Learning ◽

Random Fields ◽

Conditional Random Fields ◽

Learning Problems

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A Review of Estimation of Distribution Algorithms and Markov Networks

Adaptation, Learning, and Optimization - Markov Networks in Evolutionary Computation ◽

10.1007/978-3-642-28900-2_2 ◽

2012 ◽

pp. 21-37 ◽

Cited By ~ 4

Author(s):

Siddhartha Shakya ◽

Roberto Santana

Keyword(s):

Estimation Of Distribution Algorithms ◽

Markov Networks ◽

Estimation Of Distribution ◽

Distribution Algorithms

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Continuous Estimation of Distribution Algorithms Based on Factorized Gaussian Markov Networks

Adaptation, Learning, and Optimization - Markov Networks in Evolutionary Computation ◽

10.1007/978-3-642-28900-2_10 ◽

2012 ◽

pp. 157-173 ◽

Cited By ~ 4

Author(s):

Hossein Karshenas ◽

Roberto Santana ◽

Concha Bielza ◽

Pedro Larrañaga

Keyword(s):

Estimation Of Distribution Algorithms ◽

Markov Networks ◽

Estimation Of Distribution ◽

Distribution Algorithms ◽

Continuous Estimation

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Adaptive Evolutionary Algorithm Based on a Cliqued Gibbs Sampling over Graphical Markov Model Structure

Adaptation, Learning, and Optimization - Markov Networks in Evolutionary Computation ◽

10.1007/978-3-642-28900-2_7 ◽

2012 ◽

pp. 109-123 ◽

Cited By ~ 4

Author(s):

Eunice Esther Ponce-de-Leon-Senti ◽

Elva Diaz-Diaz

Keyword(s):

Markov Model ◽

Evolutionary Algorithm ◽

Gibbs Sampling ◽

Model Structure

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Using Maximum Entropy and Generalized Belief Propagation in Estimation of Distribution Algorithms

Adaptation, Learning, and Optimization - Markov Networks in Evolutionary Computation ◽

10.1007/978-3-642-28900-2_11 ◽

2012 ◽

pp. 175-190 ◽

Cited By ~ 1

Author(s):

Robin Höns

Keyword(s):

Maximum Entropy ◽

Belief Propagation ◽

Estimation Of Distribution Algorithms ◽

Estimation Of Distribution ◽

Distribution Algorithms

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MN-EDA and the Use of Clique-Based Factorisations in EDAs

Adaptation, Learning, and Optimization - Markov Networks in Evolutionary Computation ◽

10.1007/978-3-642-28900-2_5 ◽

2012 ◽

pp. 73-87 ◽

Cited By ~ 1

Author(s):

Roberto Santana

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Adaptation, Learning, and Optimization - Markov Networks in Evolutionary ComputationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Convergence Theorems of Estimation of Distribution Algorithms

Fast Fitness Improvements in Estimation of Distribution Algorithms Using Belief Propagation

Applications of Distribution Estimation Using Markov Network Modelling (DEUM)

Probabilistic Graphical Models and Markov Networks

EDA-RL: EDA with Conditional Random Fields for Solving Reinforcement Learning Problems

A Review of Estimation of Distribution Algorithms and Markov Networks

Continuous Estimation of Distribution Algorithms Based on Factorized Gaussian Markov Networks

Adaptive Evolutionary Algorithm Based on a Cliqued Gibbs Sampling over Graphical Markov Model Structure

Using Maximum Entropy and Generalized Belief Propagation in Estimation of Distribution Algorithms

MN-EDA and the Use of Clique-Based Factorisations in EDAs

Adaptation, Learning, and Optimization - Markov Networks in Evolutionary Computation
Latest Publications