A general noise model and its effects on evolution strategy performance
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[1] Magnus Rattray,et al. Noisy Fitness Evaluation in Genetic Algorithms and the Dynamics of Learning , 1996, FOGA.
[2] Nikolaus Hansen,et al. Completely Derandomized Self-Adaptation in Evolution Strategies , 2001, Evolutionary Computation.
[3] H. Szu. Fast simulated annealing , 1987 .
[4] David E. Goldberg,et al. Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values , 2002, GECCO.
[5] Dan Boneh,et al. On genetic algorithms , 1995, COLT '95.
[6] Hans-Georg Beyer,et al. Performance analysis of evolutionary optimization with cumulative step length adaptation , 2004, IEEE Transactions on Automatic Control.
[7] M. Kendall,et al. Kendall's advanced theory of statistics , 1995 .
[8] Thomas Bäck,et al. Evolution Strategies on Noisy Functions: How to Improve Convergence Properties , 1994, PPSN.
[9] H. Beyer. Evolutionary algorithms in noisy environments : theoretical issues and guidelines for practice , 2000 .
[10] Hans-Georg Beyer,et al. The Theory of Evolution Strategies , 2001, Natural Computing Series.
[11] David E. Goldberg,et al. Genetic Algorithms, Selection Schemes, and the Varying Effects of Noise , 1996, Evolutionary Computation.
[12] W. Vent,et al. Rechenberg, Ingo, Evolutionsstrategie — Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. 170 S. mit 36 Abb. Frommann‐Holzboog‐Verlag. Stuttgart 1973. Broschiert , 1975 .
[13] Haikady N. Nagaraja,et al. 18 Concomitants of order statistics , 1998, Order statistics.
[14] Hans-Georg Beyer,et al. The Steady State Behavior of ( μ / μ I , λ )-ES on Ellipsoidal Fitness Models Disturbed by Noise , 2003 .
[15] Hans-Georg Beyer,et al. Local Performance of the (μ/μ, μ)-ES in a Noisy Environment , 2000, FOGA.
[16] Bernhard Sendhoff,et al. The Influence of stochastic Quality Functions on Evolutionary Search , 2002, SEAL.
[17] Hans-Georg Beyer,et al. A Comparison of Evolution Strategies with Other Direct Search Methods in the Presence of Noise , 2003, Comput. Optim. Appl..
[18] Bernhard Sendhoff,et al. On the Behavior of (μ/μ1, λ)-ES Optimizing Functions Disturbed by Generalized Noise , 2002, FOGA.
[19] P. Koumoutsakos,et al. Multiobjective evolutionary algorithm for the optimization of noisy combustion processes , 2002 .
[20] Hans-Georg Beyer,et al. Performance analysis of evolution strategies with multi-recombination in high-dimensional RN-search spaces disturbed by noise , 2002, Theor. Comput. Sci..
[21] Irene A. Stegun,et al. Handbook of Mathematical Functions. , 1966 .
[22] G. Unter Rudolph. Local Convergence Rates of Simple Evolutionary Algorithms with Cauchy Mutations , 1998 .
[23] J. Fitzpatrick,et al. Genetic Algorithms in Noisy Environments , 2005, Machine Learning.
[24] Dirk V. Arnold,et al. Noisy Optimization With Evolution Strategies , 2002, Genetic Algorithms and Evolutionary Computation.
[25] Hans-Georg Beyer,et al. Local performance of the (1 + 1)-ES in a noisy environment , 2002, IEEE Trans. Evol. Comput..
[26] Bernhard Sendhoff,et al. Fitness Approximation In Evolutionary Computation - a Survey , 2002, GECCO.
[27] Ingo Rechenberg,et al. Evolutionsstrategie '94 , 1994, Werkstatt Bionik und Evolutionstechnik.
[28] Yaochu Jin,et al. A comprehensive survey of fitness approximation in evolutionary computation , 2005, Soft Comput..
[29] Hans-Georg Beyer,et al. On the Effects of Outliers on Evolutionary Optimization , 2003, IDEAL.
[30] Jürgen Branke,et al. Evolutionary Optimization in Dynamic Environments , 2001, Genetic Algorithms and Evolutionary Computation.
[31] Ingo Rechenberg,et al. Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution , 1973 .
[32] Jürgen Branke,et al. Efficient Evolutionary Algorithms for Searching Robust Solutions , 2000 .
[33] David E. Goldberg,et al. Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances , 2002, GECCO.
[34] Jürgen Branke,et al. Evolutionary optimization in uncertain environments-a survey , 2005, IEEE Transactions on Evolutionary Computation.
[35] Hans-Georg Beyer,et al. The Steady State Behavior of (µ/µI, lambda)-ES on Ellipsoidal Fitness Models Disturbed by Noise , 2003, GECCO.