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Proceedings of the First International Conference on Genetic Algorithms and their Applications
Abstract
Computer solutions to many difficult problems in science and engineering require the use of automatic search methods that consider a large number of possible solutions to the given problems. This book describes recent advances in the theory and practice of one such search method, called Genetic Algorithms. Genetic algorithms are evolutionary search techniques based on principles derived from natural population genetics, and are currently being applied to a variety of difficult problems in science, engineering, and artificial intelligence.
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Citations
Cited by
A review on genetic algorithm: past, present, and future
Katoch, S., Chauhan, S. S., & Kumar, V. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-020-10139-6 · Cited by 4,655
Genetic Algorithms and Machine Learning
Goldberg, D. E., & Holland, J. H. (1988) · Machine Learning · doi:10.1023/a:1022602019183 · Cited by 3,193
Artificial evolution for computer graphics
Sims, K. (1991) · Proceedings of the 18th annual conference on Computer graphics and interactive techniques · doi:10.1145/122718.122752 · Cited by 741
Artificial evolution for computer graphics
Sims, K. (1991) · ACM SIGGRAPH Computer Graphics · doi:10.1145/127719.122752 · Cited by 435
Lu, C., Gao, L., Li, X., Pan, Q., & Wang, Q. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.01.011 · Cited by 292
Metadata
- Venue
- Psychology Press eBooks
- Publisher
- Psychology Press
- Published
- 2014-01-02
- OpenAlex
- W2912127016
- Cited by
- 367
- References
- 0
- FWCI
- 6.58
- Type
- book
- Language
- en
- Open access
- closed
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- Proceedings of the First International Conference on Genetic Algorithms and their Applications. (2014). Psychology Press eBooks. https://doi.org/10.4324/9781315799674
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