A review of message passing algorithms in estimation of distribution algorithms
type: Item
instance of: scholarly article
title: A review of message passing algorithms in estimation of distribution algorithms
zbMATH Open document ID: 1415.68177
author: Roberto Santana
author: Alexander Mendiburu
author: José A. Lozano
published in: Natural Computing
publication date: 2019-07-08T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68T20
zbMATH DE Number: 7077545
zbMATH Keywords: message passing algorithms
zbMATH Keywords: propagation
zbMATH Keywords: estimation of distribution algorithms
zbMATH Keywords: hybridization
describes a project that uses: LibDAI
describes a project that uses: APCluster
describes a project that uses: apcluster
MaRDI profile type: Publication
full work available at URL: s11047-014-9473-2
OpenAlex ID: W2158124032
cites work: Q3174020
cites work: Survey propagation: An algorithm for satisfiability
cites work: Q3597150
cites work: The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks
cites work: Exploitation of linkage learning in evolutionary algorithms
cites work: Comprehensive characterization of the behaviors of estimation of distribution algorithms
cites work: Clustering by Passing Messages Between Data Points
cites work: A Binary Variable Model for Affinity Propagation
cites work: Q4692508
cites work: Mathematical modelling of UMDA\(_{c}\) algorithm with tournament selection. Behaviour on linear and quadratic functions
cites work: Learning Structure Illuminates Black Boxes – An Introduction to Estimation of Distribution Algorithms
cites work: Phase Transitions in Combinatorial Optimization Problems
cites work: A factor graph based genetic algorithm
cites work: Q3795276
cites work: On the Uniqueness of Loopy Belief Propagation Fixed Points
cites work: Q4079017
cites work: Q5443849
cites work: Using Maximum Entropy and Generalized Belief Propagation in Estimation of Distribution Algorithms
cites work: Q3093283
cites work: On the effective implementation of the iterative proportional fitting procedure
cites work: Q4736896
cites work: Evolutionary multi-criterion optimization. 6th international conference, EMO 2011, Ouro Preto, Brazil, April 5--8, 2011. Proceedings
cites work: Continuous Estimation of Distribution Algorithms Based on Factorized Gaussian Markov Networks
cites work: Factor graphs and the sum-product algorithm
cites work: Q2769922
cites work: Q731477
cites work: Towards a new evolutionary computation. Advances on estimation of distribution algorithms.
cites work: Q3174032
cites work: Fast Fitness Improvements in Estimation of Distribution Algorithms Using Belief Propagation
cites work: LibDAI: a free and open source C++ library for discrete approximate inference in graphical models
cites work: Convergence Theorems of Estimation of Distribution Algorithms
cites work: Scalable optimization via probabilistic modeling. From algorithms to applications.
cites work: Evolutionary optimization and the estimation of search distributions with applications to graph bipartitioning.
cites work: Schemata, distributions and graphical models in evolutionary optimization
cites work: Introducing assignment functions to Bayesian optimization algorithms
cites work: A survey of optimization by building and using probabilistic models
cites work: Adaptive Evolutionary Algorithm Based on a Cliqued Gibbs Sampling over Graphical Markov Model Structure
cites work: Accuracy of the Bethe approximation for hyperparameter estimation in probabilistic image processing
cites work: Temperature jump and velocity slip in the moment method
cites work: On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs
cites work: Constructing Free-Energy Approximations and Generalized Belief Propagation Algorithms
cites work: CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation
DOI: 10.1007/S11047-014-9473-2
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description: scientific article; zbMATH DE number 7077545