Model complex control CMA-ES
暂无分享,去创建一个
[1] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[2] Ilya Loshchilov,et al. A computationally efficient limited memory CMA-ES for large scale optimization , 2014, GECCO.
[3] Xiaodong Li,et al. A Comparative Study of CMA-ES on Large Scale Global Optimisation , 2010, Australasian Conference on Artificial Intelligence.
[4] Xiaodong Li,et al. Benchmark Functions for the CEC'2010 Special Session and Competition on Large-Scale , 2009 .
[5] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[6] Ata Kabán,et al. Heavy tails with parameter adaptation in random projection based continuous EDA , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).
[7] Delbert Dueck,et al. Clustering by Passing Messages Between Data Points , 2007, Science.
[8] M Omidvar,et al. Cooperative co-evolutionary algorithms for large-scale optimization , 2015 .
[9] David J. Sheskin,et al. Handbook of Parametric and Nonparametric Statistical Procedures , 1997 .
[10] Tapabrata Ray,et al. A cooperative coevolutionary algorithm with Correlation based Adaptive Variable Partitioning , 2009, 2009 IEEE Congress on Evolutionary Computation.
[11] R. Paul Wiegand,et al. An empirical analysis of collaboration methods in cooperative coevolutionary algorithms , 2001 .
[12] Andries Petrus Engelbrecht,et al. A Cooperative approach to particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.
[13] Peter Tiño,et al. Scaling Up Estimation of Distribution Algorithms for Continuous Optimization , 2011, IEEE Transactions on Evolutionary Computation.
[14] Kenneth A. De Jong,et al. A Cooperative Coevolutionary Approach to Function Optimization , 1994, PPSN.
[15] H. Cabral,et al. Multiple Comparisons Procedures , 2008, Circulation.
[16] Ata Kabán,et al. Multivariate Cauchy EDA Optimisation , 2014, IDEAL.
[17] Xin Yao,et al. Large scale evolutionary optimization using cooperative coevolution , 2008, Inf. Sci..
[18] Nikolaus Hansen,et al. The CMA Evolution Strategy: A Tutorial , 2016, ArXiv.
[19] Youhei Akimoto,et al. Projection-Based Restricted Covariance Matrix Adaptation for High Dimension , 2016, GECCO.
[20] Xin Yao,et al. Multilevel cooperative coevolution for large scale optimization , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[21] Ilya Loshchilov,et al. LM-CMA: An Alternative to L-BFGS for Large-Scale Black Box Optimization , 2015, Evolutionary Computation.
[22] Ke Tang,et al. Scaling Up Covariance Matrix Adaptation Evolution Strategy Using Cooperative Coevolution , 2013, IDEAL.
[23] Xiaodong Li,et al. Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization , 2014, IEEE Transactions on Evolutionary Computation.
[24] Ponnuthurai Nagaratnam Suganthan,et al. Benchmark Functions for the CEC'2013 Special Session and Competition on Large-Scale Global Optimization , 2008 .
[25] Xin Yao,et al. Self-adaptive differential evolution with neighborhood search , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[26] Raymond Ros,et al. A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity , 2008, PPSN.
[27] Xiaodong Li,et al. A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization , 2016, ACM Trans. Math. Softw..
[28] Xiaodong Li,et al. Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithms , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[29] Ata Kabán,et al. Toward Large-Scale Continuous EDA: A Random Matrix Theory Perspective , 2013, Evolutionary Computation.
[30] Ata Kabán,et al. REMEDA: Random Embedding EDA for Optimising Functions with Intrinsic Dimension , 2016, PPSN.