The DOI matches its Crossref record; 15 of the 16 references it cites were found in a registry or an index.
Genetic Algorithms and Machine Learning
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“Gradient-free methods such as the Particle Swarm optimization168, Genetic Algorithms169 and Simulated Annealing170 algorithms are more demanding from a computational point of view”
From Hardware implementation of memristor-based artificial neural networks (2024) · cites this paper as [169]
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“and hence, they are rarely employed for ANN training”
From Hardware implementation of memristor-based artificial neural networks (2024) · cites this paper as [169]
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Citations
Cites
Genetic algorithms in search, optimization, and machine learning
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0936 · Cited by 49,178
Adaptation in Natural and Artificial Systems
Holland, J. H. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1090.001.0001 · Cited by 47,340
Self-citationGenetic Algorithms in Search, Optimization and Machine Learning
Goldberg, D. E., & Robson, D. (1988) · Cited by 18,391
Self-citationFoxman, D., & Bateson, G. (1973) · The Western Political Quarterly · doi:10.2307/446833 · Cited by 7,263
Bateson, G. (2000) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226924601.001.0001 · Cited by 5,573
Seel, P. D. N. M. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1428-6_5794 · Cited by 2,566
(1987) · Medical Entomology and Zoology · Cited by 2,512
Induction: Processes of Inference, Learning, and Discovery
Holland, J. H., Holyoak, K. J., Nisbett, R. E., Thagard, P. R., & Smoliar, S. W. (1987) · IEEE Expert · doi:10.1109/mex.1987.4307100 · Cited by 2,305
Self-citationHolland, J. H., Holyoak, K. J., Nisbett, R. E., & Thagard, P. R. (1986) · The MIT Press eBooks · doi:10.7551/mitpress/3729.001.0001 · Cited by 1,534
Self-citationOutline for a Logical Theory of Adaptive Systems
Holland, J. H. (1962) · Journal of the ACM · doi:10.1145/321127.321128 · Cited by 1,117
Self-citation
Research works printed but not linked: 1
- Waddington, C. H. (1967). Summary discussion. In P. S. Moorhead & M. M Kaplan (Eds.), Mathematical challenges to the neo-Darwinian interpretation of evolution. Philadelphia, PA: Wistar Institute Press.
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Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
Mirjalili, S., Gandomi, A. H., Mirjalili, S. Z., Saremi, S., Faris, H., & Mirjalili, S. M. (2017) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2017.07.002 · Cited by 5,178
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
Buczak, A. L., & Guven, E. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2494502 · Cited by 3,332
Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization
Mirjalili, S., Saremi, S., Mirjalili, S. M., & Coelho, L. D. S. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.10.039 · Cited by 1,897
Mirjalili, S. (2019) · Studies in computational intelligence · doi:10.1007/978-3-319-93025-1_4 · Cited by 1,737
Butterfly optimization algorithm: a novel approach for global optimization
Arora, S., & Singh, S. (2018) · Soft Computing · doi:10.1007/s00500-018-3102-4 · Cited by 1,770
Metadata
- Authors
- Goldberg, D. E., & Holland, J. H.
- Affiliations
- University of Alabama (US)
- University of Michigan (US)
- Venue
- Machine Learning
- Published
- 1988-10
- Volume
- 3
- Issue
- 2-3
- Pages
- 95-99
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W1541288193
- Cited by
- 3,193
- References
- 16
- Citations by year
- 2026: 105 · 2025: 151 · 2024: 160 · 2023: 204 · 2022: 249 · 2021: 342 · 2020: 378 · 2019: 366 · 2018: 265 · 2017: 239 · 2016: 212 · 2015: 145 · 2014: 162 · 2013: 94 · 2012: 29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Machine Learning (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Evolutionary Algorithms and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Keywords
- genetic algorithm
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