The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art
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Citations
Cites
No free lunch theorems for optimization
Wolpert, D. H., & Macready, W. G. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585893 · Cited by 14,237
Ant colony system: a cooperative learning approach to the traveling salesman problem
Dorigo, M., & Gambardella, L. M. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585892 · Cited by 8,081
Cited by
Software Architecture Optimization Methods: A Systematic Literature Review
Aleti, A., Buhnova, B., Grunske, L., Koziolek, A., & Meedeniya, I. (2013) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2012.64 · Cited by 293
Merrikh-Bayat, F. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2015.04.048 · Cited by 134
Metadata
- Authors
- Coello Coello, C. A.
- Venue
- Computer Methods in Applied Mechanics and Engineering
- Publisher
- Elsevier BV
- Published
- 2002-01
- Volume
- 191
- Issue
- 11-12
- Pages
- 1245-1287
- ISSN
- 0045-7825 (ISSN-L)
- OpenAlex
- W2167580870
- Cited by
- 2,343
- References
- 2
- FWCI
- 34.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art. https://app.cochat.ai/papers/10.1016/s0045-7825(01)00323-1
- The paper
- Coello Coello, C. A. (2002). Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art. Computer Methods in Applied Mechanics and Engineering. https://doi.org/10.1016/s0045-7825(01)00323-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
