A Framework for Multi-model EDAs with Model Recombination
暂无分享,去创建一个
[1] David E. Goldberg,et al. Multiobjective hBOA, clustering, and scalability , 2005, GECCO '05.
[2] Thomas Weise,et al. A General Framework for Multi-Model Estimation of Distribution Algorithms , 2010 .
[3] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[4] Kurt Geihs,et al. A tunable model for multi-objective, epistatic, rugged, and neutral fitness landscapes , 2008, GECCO '08.
[5] Martin Pelikan,et al. Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence) , 2006 .
[6] Pedro Larrañaga,et al. Evolutionary computation based on Bayesian classifiers , 2004 .
[7] Peter J. Rousseeuw,et al. Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .
[8] Thomas Weise,et al. Global Optimization Algorithms -- Theory and Application , 2009 .
[9] Chang Wook Ahn,et al. Clustering-Based Probabilistic Model Fitting in Estimation of Distribution Algorithms , 2006, IEICE Trans. Inf. Syst..
[10] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[11] Gerhard Widmer,et al. Machine Learning: ECML-97 , 1997, Lecture Notes in Computer Science.
[12] Hans-Paul Schwefel,et al. Evolution strategies – A comprehensive introduction , 2002, Natural Computing.
[13] Concha Bielza,et al. A review of estimation of distribution algorithms in bioinformatics , 2008, BioData Mining.
[14] Conor Ryan,et al. On the diversity of diversity , 2007, 2007 IEEE Congress on Evolutionary Computation.
[15] Marcus Gallagher,et al. Real-valued Evolutionary Optimization using a Flexible Probability Density Estimator , 1999, GECCO.
[16] Li Jinping,et al. A Hybrid Evolutionary Algorithm Based on EDAs and Clustering Analysis , 2006, 2007 Chinese Control Conference.
[17] Bernhard Sendhoff,et al. Voronoi-based estimation of distribution algorithm for multi-objective optimization , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[18] Xin Yao,et al. Clustering and learning Gaussian distribution for continuous optimization , 2005, IEEE Trans. Syst. Man Cybern. Part C.
[19] David E. Goldberg,et al. A Survey of Optimization by Building and Using Probabilistic Models , 2002, Comput. Optim. Appl..
[20] Jürgen Schmidhuber,et al. Probabilistic Incremental Program Evolution: Stochastic Search Through Program Space , 1997, ECML.
[21] Hans-Paul Schwefel,et al. Parallel Problem Solving from Nature — PPSN IV , 1996, Lecture Notes in Computer Science.
[22] Ali S. Hadi,et al. Finding Groups in Data: An Introduction to Chster Analysis , 1991 .
[23] Michael Defoin-Platel,et al. Quantum-Inspired Evolutionary Algorithm: A Multimodel EDA , 2009, IEEE Transactions on Evolutionary Computation.
[24] Shumeet Baluja,et al. A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning , 1994 .
[25] Dirk Thierens,et al. Advancing continuous IDEAs with mixture distributions and factorization selection metrics , 2001 .
[26] David E. Goldberg,et al. Genetic Algorithms, Clustering, and the Breaking of Symmetry , 2000, PPSN.
[27] Conor Ryan,et al. Maintaining Diversity in EDAs for Real-Valued Optimisation Problems , 2007, 2007 Frontiers in the Convergence of Bioscience and Information Technologies.