Evaluation relaxation using substructural information and linear estimation
暂无分享,去创建一个
[1] D. Ackley. A connectionist machine for genetic hillclimbing , 1987 .
[2] Kalyanmoy Deb,et al. Analyzing Deception in Trap Functions , 1992, FOGA.
[3] David E. Goldberg,et al. Combining competent crossover and mutation operators: a probabilistic model building approach , 2005, GECCO '05.
[4] Jorma Rissanen,et al. Stochastic Complexity in Statistical Inquiry , 1989, World Scientific Series in Computer Science.
[5] D. Bertsekas. Incremental least squares methods and the extended Kalman filter , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.
[6] Natalia Alexandrov,et al. Multidisciplinary design optimization : state of the art , 1997 .
[7] Yaochu Jin,et al. A comprehensive survey of fitness approximation in evolutionary computation , 2005, Soft Comput..
[8] J. Dennis,et al. MANAGING APPROXIMATION MODELS IN OPTIMIZATION , 2007 .
[9] Ali H. Sayed,et al. Linear Estimation (Information and System Sciences Series) , 2000 .
[10] N. Draper,et al. Applied Regression Analysis. , 1967 .
[11] Hussein A. Abbass,et al. Sub-structural niching in estimation of distribution algorithms , 2005, GECCO '05.
[12] David E. Goldberg,et al. The Design of Innovation: Lessons from and for Competent Genetic Algorithms , 2002 .
[13] Xavier Llorà,et al. Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness , 2005, GECCO '05.
[14] Shalabh,et al. Linear Models and Generalizations: Least Squares and Alternatives , 2007 .
[15] John J. Grefenstette,et al. Genetic Search with Approximate Function Evaluation , 1985, ICGA.
[16] Kalyanmoy Deb,et al. Sufficient conditions for deceptive and easy binary functions , 1994, Annals of Mathematics and Artificial Intelligence.
[17] David E. Goldberg,et al. Online population size adjusting using noise and substructural measurements , 2005, 2005 IEEE Congress on Evolutionary Computation.
[18] David E. Goldberg,et al. Genetic Algorithms and Walsh Functions: Part I, A Gentle Introduction , 1989, Complex Syst..
[19] G. Harik. Linkage Learning via Probabilistic Modeling in the ECGA , 1999 .
[20] Martin Pelikan,et al. Fitness Inheritance in the Bayesian Optimization Algorithm , 2004, GECCO.
[21] Robert E. Smith,et al. Fitness inheritance in genetic algorithms , 1995, SAC '95.
[22] J. -F. M. Barthelemy,et al. Approximation concepts for optimum structural design — a review , 1993 .
[23] Martin Pelikan,et al. Hierarchical Bayesian optimization algorithm: toward a new generation of evolutionary algorithms , 2010, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).
[24] Dale Borowiak,et al. Linear Models, Least Squares and Alternatives , 2001, Technometrics.
[25] Yaochu Jin,et al. Managing approximate models in evolutionary aerodynamic design optimization , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[26] David E. Goldberg,et al. Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm , 2004, GECCO.
[27] Pedro Larrañaga,et al. Estimation of Distribution Algorithms , 2002, Genetic Algorithms and Evolutionary Computation.
[28] David E. Goldberg,et al. Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods , 2004, GECCO.
[29] David E. Goldberg,et al. Efficient Genetic Algorithms Using Discretization Scheduling , 2005, Evolutionary Computation.
[30] Franz Rothlauf,et al. Evaluation-Relaxation Schemes for Genetic and Evolutionary Algorithms , 2004 .
[31] David E. Goldberg,et al. Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[32] S. Haykin,et al. Adaptive Filter Theory , 1986 .
[33] D. Goldberg,et al. Don't evaluate, inherit , 2001 .
[34] D. E. Goldberg,et al. Simple Genetic Algorithms and the Minimal, Deceptive Problem , 1987 .