The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Genetic Algorithms: Principles of Natural Selection Applied to Computation
Abstract
A genetic algorithm is a form of evolution that occurs on a computer. Genetic algorithms are a search method that can be used for both solving problems and modeling evolutionary systems. With various mapping techniques and an appropriate measure of fitness, a genetic algorithm can be tailored to evolve a solution for many types of problems, including optimization of a function or determination of the proper order of a sequence. Mathematical analysis has begun to explain how genetic algorithms work and how best to use them. Recently, genetic algorithms have been used to model several natural evolutionary systems, including immune systems.
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Citations
Cites
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
Cited by
Mathews, D. H., Sabina, J., Zuker, M., & Turner, D. H. (1999) · Journal of Molecular Biology · doi:10.1006/jmbi.1999.2700 · Cited by 3,795
GenProg: A Generic Method for Automatic Software Repair
Le Goues, C., Nguyen, T., Forrest, S., & Weimer, W. (2012) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2011.104 · Cited by 1,085
Self-citationChemical-Reaction-Inspired Metaheuristic for Optimization
Lam, A. Y. S., & Li, V. O. K. (2010) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2009.2033580 · Cited by 587
Genetic algorithms in chemometrics and chemistry: a review
Leardi, R. (2001) · Journal of Chemometrics · doi:10.1002/cem.651 · Cited by 397
Systems biology: parameter estimation for biochemical models
Ashyraliyev, M., Fomekong‐Nanfack, Y., Kaandorp, J. A., & Blom, J. G. (2009) · The FEBS Journal · doi:10.1111/j.1742-4658.2008.06844.x · Cited by 323
Metadata
- Authors
- Forrest, S.
- Venue
- Science
- Published
- 1993-08-13
- Volume
- 261
- Issue
- 5123
- Pages
- 872-878
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2122689321
- Cited by
- 882
- References
- 1
- FWCI
- 34.07
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
