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Designs for Computer Experiments

Part of the Natural Computing Series book series (NCS)

Keywords

Particle Swarm Optimization Factorial Design Design Space Design Point Particle Swarm Optimization Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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5.9 Further Reading

  1. Box, G. E. P., Hunter, W. G., & Hunter, J. S. (1978). Statistics for Experimenters. New York NY: Wiley.Google Scholar
  2. Giunta, A., Wojtkiewicz Jr., S., & Eldred, M. (2003). Overview of modern design of experiments methods for computational simulations. In Proceedings of the 41st AIAA Aerospace Sciences Meeting and Exhibit Reno NV: American Institute of Aeronautics and Astronautics. Paper AIAA-2003-0649.Google Scholar
  3. Law, A. & Kelton, W. (2000). Simulation Modeling and Analysis. New York NY: McGraw-Hill, 3rd edition.Google Scholar
  4. Santner, T. J., Williams, B. J., & Notz, W. I. (2003). The Design and Analysis of Computer Experiments. Berlin, Heidelberg, New York: Springer.Google Scholar
  5. Simpson, T. W., Booker, A., Ghosh, D., Giunta, A. A., Koch, P., & Yang, R.-J. (2004). Approximation methods in multidisciplinary analysis and optimization: a panel discussion. Structural and Multidisciplinary Optimization, 27, 302–313.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

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