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
Box, G. E. P., Hunter, W. G., & Hunter, J. S. (1978). Statistics for Experimenters. New York NY: Wiley.
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.
Law, A. & Kelton, W. (2000). Simulation Modeling and Analysis. New York NY: McGraw-Hill, 3rd edition.
Santner, T. J., Williams, B. J., & Notz, W. I. (2003). The Design and Analysis of Computer Experiments. Berlin, Heidelberg, New York: Springer.
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.
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(2006). Designs for Computer Experiments. In: Experimental Research in Evolutionary Computation. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32027-X_5
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DOI: https://doi.org/10.1007/3-540-32027-X_5
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