Scaling Up Estimation of Distribution Algorithms for Continuous Optimization
暂无分享,去创建一个
Peter Tiño | Xin Yao | Tianshi Chen | Weishan Dong | X. Yao | P. Tiňo | Weishan Dong | Tianshi Chen
[1] YaoXin,et al. Large scale evolutionary optimization using cooperative coevolution , 2008 .
[2] Xin Yao,et al. Parallel Problem Solving from Nature PPSN VI , 2000, Lecture Notes in Computer Science.
[3] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[4] David E. Goldberg,et al. Real-coded ECGA for solving decomposable real-valued optimization problems , 2007, 2007 IEEE Congress on Evolutionary Computation.
[5] Xin Yao,et al. Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms , 2008, Inf. Sci..
[6] Peter A. N. Bosman,et al. On empirical memory design, faster selection of bayesian factorizations and parameter-free gaussian EDAs , 2009, GECCO.
[7] Goldberg,et al. Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.
[8] Xin Yao,et al. Large scale evolutionary optimization using cooperative coevolution , 2008, Inf. Sci..
[9] Franz Rothlauf,et al. SDR: a better trigger for adaptive variance scaling in normal EDAs , 2007, GECCO '07.
[10] P. Bosman,et al. Continuous iterated density estimation evolutionary algorithms within the IDEA framework , 2000 .
[11] Francisco Herrera,et al. Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems , 2011, Soft Comput..
[12] Xin Yao,et al. Analysis of Computational Time of Simple Estimation of Distribution Algorithms , 2010, IEEE Transactions on Evolutionary Computation.
[13] Tieniu Tan,et al. EDA Approach for Model Based Localization and Recognition of Vehicles , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Xin Yao,et al. Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..
[15] Petr Posík. Distribution Tree-Building Real-Valued Evolutionary Algorithm , 2004, PPSN.
[16] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[17] Marcus Gallagher,et al. Playing in continuous spaces: some analysis and extension of population-based incremental learning , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[18] Dirk Thierens,et al. Advancing continuous IDEAs with mixture distributions and factorization selection metrics , 2001 .
[19] Hao Zhang,et al. Marginal probability distribution estimation in characteristic space of covariance-matrix , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[20] Nan Ding,et al. Linkages Detection in Histogram-Based Estimation of Distribution Algorithm , 2008, Linkage in Evolutionary Computation.
[21] David E. Goldberg,et al. Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World , 2004, GECCO.
[22] Dirk Thierens,et al. Numerical Optimization with Real-Valued Estimation-of-Distribution Algorithms , 2006, Scalable Optimization via Probabilistic Modeling.
[23] D. Prabhu. SUBMITTED TO IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 1 Behavior of Interconnected Subpopulations: Genetic Algorithms in a SIMD Environment , 2007 .
[24] Anne Auger,et al. Evolution strategies and related estimation of distribution algorithms , 2008, GECCO '08.
[25] D. Goldberg,et al. Evolutionary Algorithm Using Marginal Histogram Models in Continuous Domain , 2007 .
[26] Xin Yao,et al. NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[27] Raymond Ros,et al. A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity , 2008, PPSN.
[28] Xin Yao,et al. Clustering and learning Gaussian distribution for continuous optimization , 2005, IEEE Trans. Syst. Man Cybern. Part C.
[29] L. Devroye. Non-Uniform Random Variate Generation , 1986 .
[30] Zengqi Sun,et al. Optimizing Continuous Problems Using Estimation of Distribution Algorithm Based on Histogram Model , 2006, SEAL.
[31] Alexander Mendiburu,et al. Parallel implementation of EDAs based on probabilistic graphical models , 2005, IEEE Transactions on Evolutionary Computation.
[32] Vojtech Franc,et al. Estimation of fitness landscape contours in EAs , 2007, GECCO '07.
[33] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[34] Pedro Larrañaga,et al. Protein Folding in Simplified Models With Estimation of Distribution Algorithms , 2008, IEEE Transactions on Evolutionary Computation.
[35] Jerome H. Friedman,et al. An Overview of Predictive Learning and Function Approximation , 1994 .
[36] Pedro Larrañaga,et al. Mathematical modelling of UMDAc algorithm with tournament selection. Behaviour on linear and quadratic functions , 2002, Int. J. Approx. Reason..
[37] Xin Yao,et al. Covariance matrix repairing in Gaussian based EDAs , 2007, 2007 IEEE Congress on Evolutionary Computation.
[38] Dirk Thierens,et al. Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA , 2000, PPSN.
[39] Bin Li,et al. A restart univariate estimation of distribution algorithm: sampling under mixed Gaussian and Lévy probability distribution , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[40] David E. Goldberg,et al. Real-coded Bayesian Optimization Algorithm , 2006, Towards a New Evolutionary Computation.
[41] Anne Auger,et al. EEDA : A New Robust Estimation of Distribution Algorithms , 2004 .
[42] Marcus Gallagher,et al. On the importance of diversity maintenance in estimation of distribution algorithms , 2005, GECCO '05.
[43] Ponnuthurai Nagaratnam Suganthan,et al. Benchmark Functions for the CEC'2013 Special Session and Competition on Large-Scale Global Optimization , 2008 .
[44] Xin Yao,et al. Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins , 2009, 2009 IEEE Congress on Evolutionary Computation.
[45] Xiaodong Li,et al. A Comparative Study of CMA-ES on Large Scale Global Optimisation , 2010, Australasian Conference on Artificial Intelligence.
[46] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[47] Michèle Sebag,et al. Extending Population-Based Incremental Learning to Continuous Search Spaces , 1998, PPSN.
[48] Xin Yao,et al. On the analysis of average time complexity of estimation of distribution algorithms , 2007, 2007 IEEE Congress on Evolutionary Computation.
[49] Zengqi Sun,et al. Histogram-Based Estimation of Distribution Algorithm: A Competent Method for Continuous Optimization , 2008, Journal of Computer Science and Technology.
[50] Franz Rothlauf,et al. The correlation-triggered adaptive variance scaling IDEA , 2006, GECCO.
[51] Pedro Larrañaga,et al. Estimation of Distribution Algorithms , 2002, Genetic Algorithms and Evolutionary Computation.
[52] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[53] Concha Bielza,et al. Estimation of Distribution Algorithms as Logistic Regression Regularizers of Microarray Classifiers , 2009, Methods of Information in Medicine.
[54] Pedro Larrañaga,et al. Optimization in Continuous Domains by Learning and Simulation of Gaussian Networks , 2000 .
[55] Qingfu Zhang,et al. DE/EDA: A new evolutionary algorithm for global optimization , 2005, Inf. Sci..
[56] Chang Wook Ahn,et al. On the Scalability of Real-Coded Bayesian Optimization Algorithm , 2008, IEEE Transactions on Evolutionary Computation.
[57] Per Kristian Lehre,et al. When is an estimation of distribution algorithm better than an evolutionary algorithm? , 2009, 2009 IEEE Congress on Evolutionary Computation.
[58] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[59] Zengqi Sun,et al. Reducing computational complexity of estimating multivariate histogram-based probabilistic model , 2007, 2007 IEEE Congress on Evolutionary Computation.
[60] Marcus Gallagher,et al. Real-valued Evolutionary Optimization using a Flexible Probability Density Estimator , 1999, GECCO.
[61] Franz Rothlauf,et al. Behaviour of UMDA/sub c/ with truncation selection on monotonous functions , 2005, 2005 IEEE Congress on Evolutionary Computation.