The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks

DOI10.1007/978-3-540-85068-7_6zbMath1154.68461OpenAlexW1514928772WikidataQ62672230 ScholiaQ62672230MaRDI QIDQ3539197

Pedro Larrañaga, Carlos Echegoyen, Roberto Santana, José A. Lozano

Publication date: 17 November 2008

Published in: Studies in Computational Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-85068-7_6

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

A review of message passing algorithms in estimation of distribution algorithms

Cites Work

• Hierarchical Bayesian optimization algorithm. Toward a new generation of evolutionary algorithms. With a foreword by David E. Goldberg
• Towards a new evolutionary computation. Advances on estimation of distribution algorithms.
• Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem
• Estimating the dimension of a model
• Schemata, distributions and graphical models in evolutionary optimization
• Learning Bayesian networks: The combination of knowledge and statistical data
• Fast Fitness Improvements in Estimation of Distribution Algorithms Using Belief Propagation
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