Response Surface Methodology
暂无分享,去创建一个
[1] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[2] R. Snee,et al. Ridge Regression in Practice , 1975 .
[3] David M. Allen,et al. The Relationship Between Variable Selection and Data Agumentation and a Method for Prediction , 1974 .
[4] Hanif D. Sherali,et al. An enhanced response surface methodology (RSM) algorithm using gradient deflection and second-order search strategies , 1998, Comput. Oper. Res..
[5] Jack P. C. Kleijnen,et al. Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models , 1997 .
[6] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[7] S. Dreyfus,et al. Thermodynamical Approach to the Traveling Salesman Problem : An Efficient Simulation Algorithm , 2004 .
[8] Genichi Taguchi. System Of Experimental Design: Engineering Methods To Optimize Quality And Minimize Costs , 1987 .
[9] J. Brian Gray,et al. Introduction to Linear Regression Analysis , 2002, Technometrics.
[10] George E. P. Box,et al. Empirical Model‐Building and Response Surfaces , 1988 .
[11] Kathleen M. Carley,et al. A network optimization approach for improving organizational design , 2004 .
[12] D. M. Allen. Mean Square Error of Prediction as a Criterion for Selecting Variables , 1971 .
[13] Rommert Dekker,et al. A framework for Response Surface Methodology for simulation optimization , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).
[14] D. Fridsma,et al. BioWar : Scalable Multi-Agent Social and Epidemiological Simulation of Bioterrorism Events , 2003 .
[15] R. H. Myers. Classical and modern regression with applications , 1986 .