Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms
暂无分享,去创建一个
José Ignacio Hidalgo | Concha Bielza | Pedro Larrañaga | Roberto Santana | Alfredo Cuesta-Infante | C. Bielza | P. Larrañaga | Roberto Santana | Alfredo Cuesta-Infante | J. Hidalgo
[1] Nozer D. Singpurwalla,et al. Specifying interdependence in networked systems , 2004, IEEE Transactions on Reliability.
[2] Concha Bielza,et al. Mateda-2.0: A MATLAB package for the implementation and analysis of estimation of distribution algorithms , 2010 .
[3] Jianchao Zeng,et al. Estimation of Distribution Algorithm based on copula theory , 2009, 2009 IEEE Congress on Evolutionary Computation.
[4] Christian Genest,et al. Estimating copula densities through wavelets , 2009 .
[5] M. Sklar. Fonctions de repartition a n dimensions et leurs marges , 1959 .
[6] N. Allinson,et al. Population optimization algorithm based on ICA , 2000, 2000 IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks. Proceedings of the First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks (Cat. No.00.
[7] Concha Bielza,et al. A review of estimation of distribution algorithms in bioinformatics , 2008, BioData Mining.
[8] P. Embrechts,et al. Chapter 8 – Modelling Dependence with Copulas and Applications to Risk Management , 2003 .
[9] Arturo Hernández Aguirre,et al. Using Copulas in Estimation of Distribution Algorithms , 2009, MICAI.
[10] Petros Koumoutsakos,et al. Learning Probability Distributions in Continuous Evolutionary Algorithms - a Comparative Review , 2004, Nat. Comput..
[11] R. Nelsen. An Introduction to Copulas , 1998 .
[12] Anne Auger,et al. EEDA : A New Robust Estimation of Distribution Algorithms , 2004 .
[13] Petr Poÿ ´ õk. On the Use of Probabilistic Models and Coordinate Transforms in Real-Valued Evolutionary Algorithms , 2007 .
[14] Pedro Larrañaga,et al. Towards a New Evolutionary Computation - Advances in the Estimation of Distribution Algorithms , 2006, Towards a New Evolutionary Computation.
[15] Andrew J. Patton. Copula-Based Models for Financial Time Series , 2009 .
[16] Raymond Ros,et al. Real-Parameter Black-Box Optimization Benchmarking 2009: Experimental Setup , 2009 .
[17] Nicolas Brunel,et al. Unsupervised signal restoration using hidden Markov chains with copulas , 2005, Signal Process..
[18] J. A. Lozano,et al. Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing) , 2006 .
[19] Jianchao Zeng,et al. Estimation of distribution algorithm based on archimedean copulas , 2009, GEC '09.
[20] Pedro Larrañaga,et al. Estimation of Distribution Algorithms , 2002, Genetic Algorithms and Evolutionary Computation.
[21] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[22] Emiliano A. Valdez,et al. Understanding Relationships Using Copulas , 1998 .
[23] Byoung-Tak Zhang,et al. Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model , 2004, PPSN.
[24] C. Genest,et al. Statistical Inference Procedures for Bivariate Archimedean Copulas , 1993 .
[25] David E. Goldberg,et al. A Survey of Optimization by Building and Using Probabilistic Models , 2002, Comput. Optim. Appl..
[26] A. McNeil. Sampling nested Archimedean copulas , 2008 .
[27] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[28] Petr Posík,et al. BBOB-benchmarking a simple estimation of distribution algorithm with cauchy distribution , 2009, GECCO '09.
[29] D. Goldberg,et al. Evolutionary Algorithm Using Marginal Histogram Models in Continuous Domain , 2007 .