Skip to Main Content

Advertisement

MIT Press Direct, home
header search
Search
Advanced Search
Skip Nav Destination

Estimation of Distribution Algorithms with Kikuchi Approximations

Evolutionary Computation (2005) 13 (1): 67–97.
This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.
Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications
  • Lin Lin
  • Mitsuo Gen
International Journal of Production Research (2018) 56 (1-2): 193.
Bi-level programming model for multi-modal regional bus timetable and vehicle dispatch with stochastic travel time
  • Ming Wei
  • Bo Sun
Cluster Computing (2017) 20 (1): 401.
Scalability of using Restricted Boltzmann Machines for combinatorial optimization
  • Malte Probst
  • Franz Rothlauf
  • Jörn Grahl
European Journal of Operational Research (2017) 256 (2): 368.
Graphical model based continuous estimation of distribution algorithm
  • Latifeh PourMohammadBagher
  • Mohammad Mehdi Ebadzadeh
  • Reza Safabakhsh
Applied Soft Computing (2017) 58: 388.
MARLEDA: Effective distribution estimation through Markov random fields
  • Matthew Alden
  • Risto Miikkulainen
Theoretical Computer Science (2016) 633: 4.
Evolutionary algorithms and elliptical copulas applied to continuous optimization problems
  • Harold Dias de Mello Junior
  • Luis Martí
  • André V. Abs da Cruz
  • Marley M.B. Rebuzzi Vellasco
Information Sciences (2016) 369: 419.
An Effective Markov Random Fields based Estimation of Distribution Algorithm and Scheduling of Flexible Job Shop Problem
  • Xinchang Hao
  • Jing Tian
  • Hao Wen Lin
  • Tomohiro Murata
IEEJ Transactions on Electronics, Information and Systems (2014) 134 (6): 796.
A Novel Graph-Based Estimation of the Distribution Algorithm and its Extension Using Reinforcement Learning
  • Xianneng Li
  • Shingo Mabu
  • Kotaro Hirasawa
IEEE Transactions on Evolutionary Computation (2014) 18 (1): 98.
Probabilistic model building in genetic programming: a critical review
  • Kangil Kim
  • Yin Shan
  • Xuan Hoai Nguyen
  • R. I. McKay
Genetic Programming and Evolvable Machines (2014) 15 (2): 115.
The IBMAP approach for Markov network structure learning
  • Federico Schlüter
  • Facundo Bromberg
  • Alejandro Edera
Annals of Mathematics and Artificial Intelligence (2014) 72 (3-4): 197.
An application of a GA with Markov network surrogate to feature selection
  • Alexander E.I. Brownlee
  • Olivier Regnier-Coudert
  • John A.W. McCall
  • Stewart Massie
  • Stefan Stulajter
International Journal of Systems Science (2013) 44 (11): 2039.
Network measures for information extraction in evolutionary algorithms
  • Roberto Santana
  • Rubén Armañanzas
  • Concha Bielza
  • Pedro Larrañaga
International Journal of Computational Intelligence Systems (2013) 6 (6): 1163.
Exploiting Bivariate Dependencies to Speedup Structure Learning in Bayesian Optimization Algorithm
  • Amin Nikanjam
  • Adel Rahmani
Journal of Computer Science and Technology (2012) 27 (5): 1077.
A review on probabilistic graphical models in evolutionary computation
  • Pedro Larrañaga
  • Hossein Karshenas
  • Concha Bielza
  • Roberto Santana
Journal of Heuristics (2012) 18 (5): 795.
A Markovianity based optimisation algorithm
  • Siddhartha Shakya
  • Roberto Santana
  • Jose A. Lozano
Genetic Programming and Evolvable Machines (2012) 13 (2): 159.
Probabilistic graphical models in artificial intelligence
  • P. Larrañaga
  • S. Moral
Applied Soft Computing (2011) 11 (2): 1511.
Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation
  • Roberto Santana
  • Pedro Larrañaga
  • José A. Lozano
Evolutionary Computation (2010) 18 (4): 515.
Analyzing Probabilistic Models in Hierarchical BOA
  • M. Hauschild
  • M. Pelikan
  • K. Sastry
  • C. Lima
IEEE Transactions on Evolutionary Computation (2009) 13 (6): 1199.
Research topics in discrete estimation of distribution algorithms based on factorizations
  • Roberto Santana
  • Pedro Larrañaga
  • Jose A. Lozano
Memetic Computing (2009) 1 (1): 35.
A review of estimation of distribution algorithms in bioinformatics
  • Rubén Armañanzas
  • Iñaki Inza
  • Roberto Santana
  • Yvan Saeys
  • Jose Luis Flores
  • Jose Antonio Lozano
  • Yves Van de Peer
  • Rosa Blanco
  • Víctor Robles
  • Concha Bielza
  • Pedro Larrañaga
BioData Mining (2008) 1 (1)
Sporadic model building for efficiency enhancement of the hierarchical BOA
  • Martin Pelikan
  • Kumara Sastry
  • David E. Goldberg
Genetic Programming and Evolvable Machines (2008) 9 (1): 53.
A Bayesian Network Approach to Program Generation
  • Y. Hasegawa
  • H. Iba
IEEE Transactions on Evolutionary Computation (2008) 12 (6): 750.
Optimization by estimation of distribution with DEUM framework based on Markov random fields
  • Siddhartha Shakya
  • John McCall
International Journal of Automation and Computing (2007) 4 (3): 262.

Advertisement

  • Online ISSN 1530-9304
  • Print ISSN 1063-6560
A product of The MIT Press
Newsletter Sign Up

MIT Press Direct

Information

MIT Press

Contact Us

© 2023 The MIT Press
Close Modal
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy. No content on this site may be used to train artificial intelligence systems without permission in writing from the MIT Press.
Accept