On the Impact of Systematic Noise on the Evolutionary Optimization Performance—A Sphere Model Analysis
暂无分享,去创建一个
[1] Yaochu Jin,et al. Adaptive encoding for aerodynamic shape optimization using evolution strategies , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[2] Jürgen Branke,et al. Efficient Evolutionary Algorithms for Searching Robust Solutions , 2000 .
[3] Hans-Georg Beyer,et al. Toward a Theory of Evolution Strategies: Self-Adaptation , 1995, Evolutionary Computation.
[4] H. Beyer,et al. Noisy Local Optimization with Evolution Strategies , 2002 .
[5] Paul J. Layzell,et al. Evolution of Robustness in an Electronics Design , 2000, ICES.
[6] Thomas Bäck,et al. Robust design of multilayer optical coatings by means of evolutionary algorithms , 1998, IEEE Trans. Evol. Comput..
[7] Jürgen Branke,et al. Evolutionary Optimization in Dynamic Environments , 2001, Genetic Algorithms and Evolutionary Computation.
[8] Markus Olhofer,et al. Advanced high turning compressor airfoils for low Reynolds number condition. Part I: Design and optimization , 2004 .
[9] Irene A. Stegun,et al. Pocketbook of mathematical functions , 1984 .
[10] Bernhard Sendhoff,et al. Trade-off between Optimality and Robustness: An Evolutionary Multiobjective Approach , 2003 .
[11] Bernhard Sendhoff,et al. On the Behavior of (μ/μ1, λ)-ES Optimizing Functions Disturbed by Generalized Noise , 2002, FOGA.
[12] Hans-Paul Schwefel,et al. Numerical optimization of computer models , 1981 .
[13] BeyerHans-Georg. Toward a theory of evolution strategies , 1993 .
[14] Markus Olhofer,et al. Optimisation of Transonic Gas Turbine Blades with Evolution Strategies , 2002 .
[15] Bernhard Sendhoff,et al. Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach , 2003, EMO.
[16] Hans-Georg Beyer,et al. The Steady State Behavior of ( μ / μ I , λ )-ES on Ellipsoidal Fitness Models Disturbed by Noise , 2003 .
[17] Dirk V. Arnold,et al. Noisy Optimization With Evolution Strategies , 2002, Genetic Algorithms and Evolutionary Computation.
[18] Hans-Georg Beyer,et al. Toward a Theory of Evolution Strategies: Some Asymptotical Results from the (1,+ )-Theory , 1993, Evolutionary Computation.
[19] Shigeyoshi Tsutsui,et al. Genetic algorithms with a robust solution searching scheme , 1997, IEEE Trans. Evol. Comput..
[20] Bernhard Sendhoff,et al. Aerodynamic Shape Optimisation using Evolution Strategies , 2002 .
[21] 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..
[22] Bernhard Sendhoff,et al. Advanced High Turning Compressor Airfoils for Low Reynolds Number Condition: Part 1 — Design and Optimization , 2003 .
[23] Hans-Georg Beyer,et al. Local Performance of the (μ/μ, μ)-ES in a Noisy Environment , 2000, FOGA.
[24] B. Arnold,et al. A first course in order statistics , 1994 .
[25] Shigeru Obayashi,et al. Multiobjective Genetic Algorithm for Multidisciplinary Design of Transonic Wing Planform , 1997 .
[26] 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.
[27] Hans-Georg Beyer,et al. Local performance of the (1 + 1)-ES in a noisy environment , 2002, IEEE Trans. Evol. Comput..
[28] Nikolaus Hansen,et al. Completely Derandomized Self-Adaptation in Evolution Strategies , 2001, Evolutionary Computation.
[29] Peter Stagge,et al. Averaging Efficiently in the Presence of Noise , 1998, PPSN.
[30] Yoshihiro YamaguchiT,et al. Multi-Objective Optimization for the Transonic Compressor Stator Blade , 2000 .
[31] Francesco Mondada,et al. Evolution of homing navigation in a real mobile robot , 1996, IEEE Trans. Syst. Man Cybern. Part B.
[32] H. Beyer. Evolutionary algorithms in noisy environments : theoretical issues and guidelines for practice , 2000 .
[33] Hans-Georg Beyer,et al. The Theory of Evolution Strategies , 2001, Natural Computing Series.