Adaptive Estimation of Distribution Algorithms
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Pedro Larrañaga | Roberto Santana | José Antonio Lozano | J. A. Lozano | P. Larrañaga | Roberto Santana
[1] Franz Rothlauf,et al. The correlation-triggered adaptive variance scaling IDEA , 2006, GECCO.
[2] Roberto Santana,et al. The Factorized Distribution Algorithm and The Junction Tree: A Learning Perspective , 2005 .
[3] Pieter Abbeel,et al. Learning Factor Graphs in Polynomial Time and Sample Complexity , 2006, J. Mach. Learn. Res..
[4] Pedro Larrañaga,et al. Estimation of Distribution Algorithms , 2002, Genetic Algorithms and Evolutionary Computation.
[5] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[6] Qingfu Zhang,et al. Adaptive modelling strategy for continuous multi-objective optimization , 2007, 2007 IEEE Congress on Evolutionary Computation.
[7] Brendan J. Frey,et al. Factor graphs and the sum-product algorithm , 2001, IEEE Trans. Inf. Theory.
[8] Roberto Santana,et al. Estimation of Distribution Algorithms with Kikuchi Approximations , 2005, Evolutionary Computation.
[9] C. Bron,et al. Algorithm 457: finding all cliques of an undirected graph , 1973 .
[10] Jim Smith,et al. Operator and parameter adaptation in genetic algorithms , 1997, Soft Comput..
[11] Michèle Sebag,et al. Controlling Crossover through Inductive Learning , 1994, PPSN.
[12] Heinz Mühlenbein,et al. Schemata, Distributions and Graphical Models in Evolutionary Optimization , 1999, J. Heuristics.
[13] Peter A. N. Bosman,et al. Matching inductive search bias and problem structure in continuous Estimation-of-Distribution Algorithms , 2008, Eur. J. Oper. Res..
[14] Reinhard Männer,et al. Parallel Problem Solving from Nature — PPSN III , 1994, Lecture Notes in Computer Science.
[15] R. Santana,et al. The mixture of trees Factorized Distribution Algorithm , 2001 .
[16] Larry J. Eshelman,et al. On Crossover as an Evolutionarily Viable Strategy , 1991, ICGA.
[17] Roberto Santana. A Markov Network Based Factorized Distribution Algorithm for Optimization , 2003, ECML.
[18] Heinz Mühlenbein,et al. The Estimation of Distributions and the Minimum Relative Entropy Principle , 2005, Evol. Comput..
[19] Hendrik Blockeel,et al. Machine Learning: ECML 2003 , 2003, Lecture Notes in Computer Science.
[20] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[21] William T. Freeman,et al. Constructing free-energy approximations and generalized belief propagation algorithms , 2005, IEEE Transactions on Information Theory.
[22] Neil D. Lawrence,et al. Missing Data in Kernel PCA , 2006, ECML.
[23] Hans-Paul Schwefel,et al. Parallel Problem Solving from Nature — PPSN IV , 1996, Lecture Notes in Computer Science.
[24] Francisco Herrera,et al. Adaptive Genetic Algorithms Based on Fuzzy Techniques , 2007 .
[25] Pedro Larrañaga,et al. Mixtures of Kikuchi Approximations , 2006, ECML.
[26] Zbigniew Michalewicz,et al. Evolutionary Computation 1 , 2018 .
[27] Richard M. Everson,et al. Controlling Genetic Algorithms With Reinforcement Learning , 2002, GECCO.
[28] Heinz Mühlenbein,et al. The Science of Breeding and Its Application to the Breeder Genetic Algorithm (BGA) , 1993, Evolutionary Computation.