Effective Linkage Learning Using Low-Order Statistics and Clustering
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Aurora Trinidad Ramirez Pozo | Leonardo R. Emmendorfer | L. Emmendorfer | Aurora Trinidad Ramirez Pozo
[1] D. Goldberg,et al. A Survey of Linkage Learning Techniques in Genetic and Evolutionary Algorithms , 2007 .
[2] David E. Goldberg,et al. Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination , 2005, GECCO '05.
[3] Ben Hui Liu,et al. Statistical Genomics: Linkage, Mapping, and QTL Analysis , 1997 .
[4] Martin Pelikan,et al. Hierarchical Bayesian optimization algorithm: toward a new generation of evolutionary algorithms , 2010, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).
[5] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[6] D. Goldberg,et al. Sporadic Model Building for Efficiency Enhancement of hBOA Martin Pelikan , 2005 .
[7] Dirk Thierens,et al. Advancing continuous IDEAs with mixture distributions and factorization selection metrics , 2001 .
[8] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[9] David E. Goldberg,et al. The compact genetic algorithm , 1999, IEEE Trans. Evol. Comput..
[10] David E. Goldberg,et al. Genetic Algorithms, Clustering, and the Breaking of Symmetry , 2000, PPSN.
[11] G. Harik. Learning gene linkage to efficiently solve problems of bounded difficulty using genetic algorithms , 1997 .
[12] Marcus Gallagher,et al. On the importance of diversity maintenance in estimation of distribution algorithms , 2005, GECCO '05.
[13] David E. Goldberg,et al. Sporadic model building for efficiency enhancement of hierarchical BOA , 2006, GECCO.
[14] Pedro Larrañaga,et al. Globally Multimodal Problem Optimization Via an Estimation of Distribution Algorithm Based on Unsupervised Learning of Bayesian Networks , 2005, Evolutionary Computation.
[15] Jordan B. Pollack,et al. Modeling Building-Block Interdependency , 1998, PPSN.
[16] Rich Caruana,et al. Removing the Genetics from the Standard Genetic Algorithm , 1995, ICML.
[17] Qingfu Zhang,et al. An evolutionary algorithm with guided mutation for the maximum clique problem , 2005, IEEE Transactions on Evolutionary Computation.
[18] Aurora Trinidad Ramirez Pozo,et al. An Incremental Approach for Niching and Building Block Detection via Clustering , 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).
[19] David E. Goldberg,et al. A Survey of Optimization by Building and Using Probabilistic Models , 2002, Comput. Optim. Appl..
[20] Heinz Mühlenbein,et al. Schemata, Distributions and Graphical Models in Evolutionary Optimization , 1999, J. Heuristics.
[21] D. Goldberg,et al. BOA: the Bayesian optimization algorithm , 1999 .
[22] A. Hasman,et al. Probabilistic reasoning in intelligent systems: Networks of plausible inference , 1991 .
[23] Marvin Minsky,et al. Perceptrons: An Introduction to Computational Geometry , 1969 .
[24] David E. Goldberg,et al. Multiple-Deme Parallel Estimation of Distribution Algorithms: Basic Framework and Application , 2003, PPAM.
[25] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[26] Kalyanmoy Deb,et al. Messy Genetic Algorithms: Motivation, Analysis, and First Results , 1989, Complex Syst..
[27] Fernando G. Lobo,et al. A parameter-less genetic algorithm , 1999, GECCO.
[28] Samir W. Mahfoud. Niching methods for genetic algorithms , 1996 .
[29] Pedro Larrañaga,et al. Exact Bayesian network learning in estimation of distribution algorithms , 2007, 2007 IEEE Congress on Evolutionary Computation.
[30] A. Agresti,et al. Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions , 1998 .
[31] J. A. Lozano,et al. Analyzing the PBIL Algorithm by Means of Discrete Dynamical Systems , 2000 .
[32] Chang Wook Ahn,et al. Clustering-Based Probabilistic Model Fitting in Estimation of Distribution Algorithms , 2006, IEICE Trans. Inf. Syst..
[33] Ivan Bratko,et al. Testing the significance of attribute interactions , 2004, ICML.
[34] Pedro Larrañaga,et al. Estimation of Distribution Algorithms , 2002, Genetic Algorithms and Evolutionary Computation.
[35] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[36] Paul A. Viola,et al. MIMIC: Finding Optima by Estimating Probability Densities , 1996, NIPS.
[37] David E. Goldberg,et al. The Race, the Hurdle, and the Sweet Spot , 1998 .
[38] Judea Pearl,et al. MARKOV AND BAYESIAN NETWORKS: Two Graphical Representations of Probabilistic Knowledge , 1988 .
[39] Qingfu Zhang,et al. On stability of fixed points of limit models of univariate marginal distribution algorithm and factorized distribution algorithm , 2004, IEEE Transactions on Evolutionary Computation.