On the limits of effectiveness in estimation of distribution algorithms
暂无分享,去创建一个
[1] Qingfu Zhang,et al. Structure learning and optimisation in a Markov-network based estimation of distribution algorithm , 2009, 2009 IEEE Congress on Evolutionary Computation.
[2] Pedro Larrañaga,et al. Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation , 2010, Evolutionary Computation.
[3] Meng-Hiot Lim,et al. Linkage in Evolutionary Computation , 2008, Linkage in Evolutionary Computation.
[4] S. Baluja,et al. Using Optimal Dependency-Trees for Combinatorial Optimization: Learning the Structure of the Search Space , 1997 .
[5] H. Mühlenbein. Convergence of Estimation of Distribution Algorithms for Finite Samples , 2007 .
[6] Wray L. Buntine. Theory Refinement on Bayesian Networks , 1991, UAI.
[7] 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.
[8] Pedro Larrañaga,et al. Protein Folding in Simplified Models With Estimation of Distribution Algorithms , 2008, IEEE Transactions on Evolutionary Computation.
[9] C. N. Liu,et al. Approximating discrete probability distributions with dependence trees , 1968, IEEE Trans. Inf. Theory.
[10] David E. Goldberg,et al. Using Previous Models to Bias Structural Learning in the Hierarchical BOA , 2008, Evolutionary Computation.
[11] Martin Pelikan,et al. Hierarchical Bayesian optimization algorithm: toward a new generation of evolutionary algorithms , 2010, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).
[12] Jason H. Moore,et al. Filling the gap between biology and computer science , 2008, BioData Mining.
[13] Heinz Mühlenbein,et al. FDA -A Scalable Evolutionary Algorithm for the Optimization of Additively Decomposed Functions , 1999, Evolutionary Computation.
[14] María S. Pérez-Hernández,et al. GA-EDA: A New Hybrid Cooperative Search Evolutionary Algorithm , 2006, Towards a New Evolutionary Computation.
[15] Roberto Santana,et al. Toward Understanding EDAs Based on Bayesian Networks Through a Quantitative Analysis , 2012, IEEE Transactions on Evolutionary Computation.
[16] Qingfu Zhang,et al. Analyzing limits of effectiveness in different implementations of estimation of distribution algorithms , 2011 .
[17] Enrique F. Castillo,et al. Expert Systems and Probabilistic Network Models , 1996, Monographs in Computer Science.
[18] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[19] Pedro Larrañaga,et al. The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks , 2008, Linkage in Evolutionary Computation.
[20] X. Jin. Factor graphs and the Sum-Product Algorithm , 2002 .
[21] Tian-Li Yu,et al. Difficulty of linkage learning in estimation of distribution algorithms , 2009, GECCO.
[22] David E. Goldberg,et al. Hierarchical Bayesian Optimization Algorithm , 2006, Scalable Optimization via Probabilistic Modeling.
[23] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[24] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[25] Robert Elliott Smith,et al. The limitations of distribution sampling for linkage learning , 2007, 2007 IEEE Congress on Evolutionary Computation.
[26] Jonathan L. Shapiro,et al. Drift and Scaling in Estimation of Distribution Algorithms , 2005, Evolutionary Computation.
[27] Yong Gao,et al. Space Complexity of Estimation of Distribution Algorithms , 2005, Evolutionary Computation.
[28] Martin Pelikan,et al. An application of a multivariate estimation of distribution algorithm to cancer chemotherapy , 2008, GECCO '08.
[29] Martin Pelikan,et al. Analyzing Probabilistic Models in Hierarchical BOA , 2009, IEEE Transactions on Evolutionary Computation.
[30] Bart Naudts,et al. A comparison of predictive measures of problem difficulty in evolutionary algorithms , 2000, IEEE Trans. Evol. Comput..
[31] Qingfu Zhang,et al. An evolutionary algorithm with guided mutation for the maximum clique problem , 2005, IEEE Transactions on Evolutionary Computation.
[32] Max Henrion,et al. Propagating uncertainty in bayesian networks by probabilistic logic sampling , 1986, UAI.
[33] D. Goldberg,et al. BOA: the Bayesian optimization algorithm , 1999 .
[34] David E. Goldberg,et al. Model accuracy in the Bayesian optimization algorithm , 2011, Soft Comput..
[35] Concha Bielza,et al. A review of estimation of distribution algorithms in bioinformatics , 2008, BioData Mining.
[36] Aurora Trinidad Ramirez Pozo,et al. Effective Linkage Learning Using Low-Order Statistics and Clustering , 2009, IEEE Transactions on Evolutionary Computation.
[37] Pedro Larrañaga,et al. Estimation of Distribution Algorithms , 2002, Genetic Algorithms and Evolutionary Computation.
[38] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[39] Qingfu Zhang,et al. Combinations of estimation of distribution algorithms and other techniques , 2007, Int. J. Autom. Comput..