A review of message passing algorithms in estimation of distribution algorithms
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Publication:2003458
DOI10.1007/s11047-014-9473-2zbMath1415.68177OpenAlexW2158124032MaRDI QIDQ2003458
Roberto Santana, Alexander Mendiburu, José A. Lozano
Publication date: 8 July 2019
Published in: Natural Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11047-014-9473-2
Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)
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- Clustering by Passing Messages Between Data Points
- Comprehensive characterization of the behaviors of estimation of distribution algorithms
- On the effective implementation of the iterative proportional fitting procedure
- Engineering stochastic local search algorithms. Designing, implementing and analyzing effective heuristics. Second international workshop, SLS 2009, Brussels, Belgium, September 3--4, 2009. Proceedings
- A factor graph based genetic algorithm
- Towards a new evolutionary computation. Advances on estimation of distribution algorithms.
- Exploitation of linkage learning in evolutionary algorithms
- Evolutionary optimization and the estimation of search distributions with applications to graph bipartitioning.
- Mathematical modelling of UMDA\(_{c}\) algorithm with tournament selection. Behaviour on linear and quadratic functions
- Schemata, distributions and graphical models in evolutionary optimization
- Temperature jump and velocity slip in the moment method
- Evolutionary multi-criterion optimization. 6th international conference, EMO 2011, Ouro Preto, Brazil, April 5--8, 2011. Proceedings
- Introducing assignment functions to Bayesian optimization algorithms
- Scalable optimization via probabilistic modeling. From algorithms to applications.
- CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation
- Learning Structure Illuminates Black Boxes – An Introduction to Estimation of Distribution Algorithms
- The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks
- Constructing Free-Energy Approximations and Generalized Belief Propagation Algorithms
- Factor graphs and the sum-product algorithm
- On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs
- Convergence Theorems of Estimation of Distribution Algorithms
- Adaptive Evolutionary Algorithm Based on a Cliqued Gibbs Sampling over Graphical Markov Model Structure
- Fast Fitness Improvements in Estimation of Distribution Algorithms Using Belief Propagation
- Continuous Estimation of Distribution Algorithms Based on Factorized Gaussian Markov Networks
- Using Maximum Entropy and Generalized Belief Propagation in Estimation of Distribution Algorithms
- Accuracy of the Bethe approximation for hyperparameter estimation in probabilistic image processing
- On the Uniqueness of Loopy Belief Propagation Fixed Points
- Survey propagation: An algorithm for satisfiability
- A Binary Variable Model for Affinity Propagation
- Phase Transitions in Combinatorial Optimization Problems
- A survey of optimization by building and using probabilistic models
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