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Optimization of Control Parameters for Genetic Algorithms
Abstract
The task of optimizing a complex system presents at least two levels of problems for the system designer. First, a class of optimization algorithms must be chosen that is suitable for application to the system. Second, various parameters of the optimization algorithm need to be tuned for efficiency. A class of adaptive search procedures called genetic algorithms (GA) has been used to optimize a wide variety of complex systems. GA's are applied to the second level task of identifying efficient GA's for a set of numerical optimization problems. The results are validated on an image registration problem. GA's are shown to be effective for both levels of the systems optimization problem.
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Cited by
An Introduction to Genetic Algorithms
Mitchell, M. (1996) · doi:10.7551/mitpress/3927.001.0001 · Cited by 11,340
The irace package: Iterated racing for automatic algorithm configuration
López-Ibáñez, M., Dubois-Lacoste, J., Pérez Cáceres, L., Birattari, M., & Stützle, T. (2016) · Operations Research Perspectives · doi:10.1016/j.orp.2016.09.002 · Cited by 1,761
Evolutionary computation: Comments on the history and current state
Back, T., Hammel, U., & Schwefel, H.-P. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585888 · Cited by 1,536
Review of numerical optimization techniques for meta-device design [Invited]
Campbell, S. D., Sell, D., Jenkins, R. P., Whiting, E. B., Fan, J. A., & Werner, D. H. (2019) · Optical Materials Express · doi:10.1364/ome.9.001842 · Cited by 322
A Review on Estimation of Distribution Algorithms
Larrañaga, P. (2002) · Genetic Algorithms and Evolutionary Computation · doi:10.1007/978-1-4615-1539-5_3 · Cited by 100
Metadata
- Authors
- Grefenstette, J.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics
- Published
- 1986-01
- Volume
- 16
- Issue
- 1
- Pages
- 122-128
- ISSN
- 0018-9472 (ISSN-L)
- OpenAlex
- W2028569720
- Cited by
- 2,854
- References
- 0
- FWCI
- 3.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- Grefenstette, J. (1986). Optimization of Control Parameters for Genetic Algorithms. IEEE Transactions on Systems, Man, and Cybernetics. https://doi.org/10.1109/tsmc.1986.289288
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