Article

Combinatonal Optimization by Learning and Simulation of Bayesian Networks

Authors:

Pedro Larrañaga,

Ramon Etxeberria,

Jose Antonio Lozano,

Jose Manuel PeñaAuthors Info & Claims

UAI '00: Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence

Pages 343 - 352

Published: 30 June 2000 Publication History

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Larrañaga PKarshenas HBielza CSantana R(2012)A review on probabilistic graphical models in evolutionary computationJournal of Heuristics10.1007/s10732-012-9208-418:5(795-819)Online publication date: 1-Oct-2012
https://dl.acm.org/doi/10.1007/s10732-012-9208-4
Zhang G(2011)Quantum-inspired evolutionary algorithmsJournal of Heuristics10.1007/s10732-010-9136-017:3(303-351)Online publication date: 1-Jun-2011
https://dl.acm.org/doi/10.1007/s10732-010-9136-0
DelaOssa LGámez JMateo JPuerta J(2009)Avoiding premature convergence in estimation of distribution algorithmsProceedings of the Eleventh conference on Congress on Evolutionary Computation10.5555/1689599.1689658(455-462)Online publication date: 18-May-2009
https://dl.acm.org/doi/10.5555/1689599.1689658
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Combinatonal Optimization by Learning and Simulation of Bayesian Networks

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Published In

UAI '00: Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence

June 2000

652 pages

ISBN:1558607099

Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 30 June 2000

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Larrañaga PKarshenas HBielza CSantana R(2012)A review on probabilistic graphical models in evolutionary computationJournal of Heuristics10.1007/s10732-012-9208-418:5(795-819)Online publication date: 1-Oct-2012
https://dl.acm.org/doi/10.1007/s10732-012-9208-4
Zhang G(2011)Quantum-inspired evolutionary algorithmsJournal of Heuristics10.1007/s10732-010-9136-017:3(303-351)Online publication date: 1-Jun-2011
https://dl.acm.org/doi/10.1007/s10732-010-9136-0
DelaOssa LGámez JMateo JPuerta J(2009)Avoiding premature convergence in estimation of distribution algorithmsProceedings of the Eleventh conference on Congress on Evolutionary Computation10.5555/1689599.1689658(455-462)Online publication date: 18-May-2009
https://dl.acm.org/doi/10.5555/1689599.1689658
Romero TLarraòaga P(2009)Triangulation of Bayesian networks with recursive estimation of distribution algorithmsInternational Journal of Approximate Reasoning10.1016/j.ijar.2008.09.00250:3(472-484)Online publication date: 1-Mar-2009
https://dl.acm.org/doi/10.1016/j.ijar.2008.09.002
Gámez JMateo JPuerta JRyan C(2008)Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributionsProceedings of the 10th annual conference on Genetic and evolutionary computation10.1145/1389095.1389171(407-414)Online publication date: 13-Jul-2008
https://dl.acm.org/doi/10.1145/1389095.1389171
Flores JInza ILarrañaga P(2007)Wrapper discretization by means of estimation of distribution algorithmsIntelligent Data Analysis10.5555/1367985.136799111:5(525-545)Online publication date: 1-Oct-2007
https://dl.acm.org/doi/10.5555/1367985.1367991
Handa H(2005)Estimation of distribution algorithms with mutationProceedings of the 5th European conference on Evolutionary Computation in Combinatorial Optimization10.1007/978-3-540-31996-2_11(112-121)Online publication date: 30-Mar-2005
https://dl.acm.org/doi/10.1007/978-3-540-31996-2_11
Sanz-Tapia EGarcía-Pedrajas NOrtiz-Boyer DHervás-Martínez C(2003)Node level crossover applied to neural network evolutionProceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 110.5555/1762716.1762786(518-525)Online publication date: 3-Jun-2003
https://dl.acm.org/doi/10.5555/1762716.1762786
Handa H(2003)Hybridization of estimation of distribution algorithms with a repair method for solving constraint satisfaction problemsProceedings of the 2003 international conference on Genetic and evolutionary computation: PartI10.5555/1761233.1761360(991-1002)Online publication date: 12-Jul-2003
https://dl.acm.org/doi/10.5555/1761233.1761360

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