暂无分享,去创建一个
[1] John A. Nelder,et al. A Simplex Method for Function Minimization , 1965, Comput. J..
[2] Nikolaus Hansen,et al. Adapting arbitrary normal mutation distributions in evolution strategies: the covariance matrix adaptation , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.
[3] N. Hansen,et al. Convergence Properties of Evolution Strategies with the Derandomized Covariance Matrix Adaptation: T , 1997 .
[4] Nikolaus Hansen,et al. Verallgemeinerte individuelle Schrittweitenregelung in der Evolutionsstrategie , 1998 .
[5] N. Hansen. Invariance, Self-adaptation and Correlated Mutations in Evolution Strategies Invariance, Self-adaptation and Correlated Mutations in Evolution Strategies , 2000 .
[6] Nikolaus Hansen,et al. Invariance, Self-Adaptation and Correlated Mutations and Evolution Strategies , 2000, PPSN.
[7] Kalyanmoy Deb,et al. On self-adaptive features in real-parameter evolutionary algorithms , 2001, IEEE Trans. Evol. Comput..
[8] Hans-Georg Beyer,et al. The Theory of Evolution Strategies , 2001, Natural Computing Series.
[9] Nikolaus Hansen,et al. Completely Derandomized Self-Adaptation in Evolution Strategies , 2001, Evolutionary Computation.
[10] Pedro Larrañaga,et al. A Review on Estimation of Distribution Algorithms , 2002, Estimation of Distribution Algorithms.
[11] Petros Koumoutsakos,et al. Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) , 2003, Evolutionary Computation.
[12] Hans-Georg Beyer,et al. Qualms Regarding the Optimality of Cumulative Path Length Control in CSA/CMA-Evolution Strategies , 2003, Evolutionary Computation.
[13] Petros Koumoutsakos,et al. Learning probability distributions in continuous evolutionary algorithms – a comparative review , 2004, Natural Computing.
[14] Dirk P. Kroese,et al. The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning , 2004 .
[15] Hans-Georg Beyer,et al. Performance analysis of evolutionary optimization with cumulative step length adaptation , 2004, IEEE Transactions on Automatic Control.
[16] Petros Koumoutsakos,et al. Learning Probability Distributions in Continuous Evolutionary Algorithms - a Comparative Review , 2004, Nat. Comput..
[17] Nikolaus Hansen,et al. Evaluating the CMA Evolution Strategy on Multimodal Test Functions , 2004, PPSN.
[18] Nikolaus Hansen,et al. A restart CMA evolution strategy with increasing population size , 2005, 2005 IEEE Congress on Evolutionary Computation.
[19] Dirk V. Arnold,et al. Improving Evolution Strategies through Active Covariance Matrix Adaptation , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[20] Lih-Yuan Deng,et al. The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation, and Machine Learning , 2006, Technometrics.
[21] Nikolaus Hansen,et al. The CMA Evolution Strategy: A Comparing Review , 2006, Towards a New Evolutionary Computation.
[22] Dirk V. Arnold,et al. Weighted multirecombination evolution strategies , 2006, Theor. Comput. Sci..
[23] Petros Koumoutsakos,et al. A Method for Handling Uncertainty in Evolutionary Optimization With an Application to Feedback Control of Combustion , 2009, IEEE Transactions on Evolutionary Computation.
[24] Nikolaus Hansen,et al. Variable Metrics in Evolutionary Computation , 2009 .
[25] Nikolaus Hansen,et al. Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed , 2009, GECCO '09.
[26] Tom Schaul,et al. Exponential natural evolution strategies , 2010, GECCO '10.
[27] Raymond Ros,et al. Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noiseless testbed , 2010, GECCO '10.
[28] Nikolaus Hansen,et al. Injecting External Solutions Into CMA-ES , 2011, ArXiv.
[29] Marc Schoenauer,et al. Multidisciplinary Optimization in the Design of Future Space Launchers , 2013 .
[30] Anne Auger,et al. Principled Design of Continuous Stochastic Search: From Theory to Practice , 2014, Theory and Principled Methods for the Design of Metaheuristics.
[31] Anne Auger,et al. How to Assess Step-Size Adaptation Mechanisms in Randomised Search , 2014, PPSN.
[32] Thomas Bartz-Beielstein,et al. Parallel Problem Solving from Nature – PPSN XIII , 2014, Lecture Notes in Computer Science.