The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
A genetic approach to the quadratic assignment problem
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Citations
Cites
Holland, J. H. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1090.001.0001 · Cited by 47,002
(1979) · Cited by 43,841
Assignment Problems and the Location of Economic Activities
Koopmans, T. C., & Beckmann, M. (1957) · Econometrica · doi:10.2307/1907742 · Cited by 2,308
Genetic algorithms and their applications
Tang, K. S., Man, K. F., Kwong, S., & He, Q. (1996) · IEEE Signal Processing Magazine · doi:10.1109/79.543973 · Cited by 1,095
The Backboard Wiring Problem: A Placement Algorithm
Steinberg, L. (1961) · SIAM Review · doi:10.1137/1003003 · Cited by 379
Solving Quadratic Assignment Problems by ‘Simulated Annealing’
Wilhelm, M. R., & Ward, T. L. (1987) · IIE Transactions · doi:10.1080/07408178708975376 · Cited by 315
Quadratic Assignment Problem Algorithms and the Location of Indivisible Facilities
Hillier, F. S., & Connors, M. M. (1966) · Management Science · doi:10.1287/mnsc.13.1.42 · Cited by 231
A Review of the Placement and Quadratic Assignment Problems
Hanan, M., & Kurtzberg, J. M. (1972) · SIAM Review · doi:10.1137/1014035 · Cited by 169
Cited by
Coello Coello, C. A. (2002) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/s0045-7825(01)00323-1 · Cited by 2,343
Reliability optimization of series-parallel systems using a genetic algorithm
Coit, D. W., & Smith, A. E. (1996) · IEEE Transactions on Reliability · doi:10.1109/24.510811 · Cited by 759
Self-citationKammerdiner, A., Gevezes, T., Pasiliao, E., Pitsoulis, L., & Pardalos, P. M. (2013) · Encyclopedia of Operations Research and Management Science · doi:10.1007/978-1-4419-1153-7_1152 · Cited by 273
How to Solve Problems with Crowds: A Computer‐Based Simulation Model
Vuculescu, O., & Bergenholtz, C. (2014) · Creativity and Innovation Management · doi:10.1111/caim.12059 · Cited by 22
Metadata
- Authors
- Tate, D. M., & Smith, A. E.
- Venue
- Computers & Operations Research
- Publisher
- Elsevier BV
- Published
- 1995-01
- Volume
- 22
- Issue
- 1
- Pages
- 73-83
- ISSN
- 0305-0548 (ISSN-L)
- OpenAlex
- W2070223281
- Cited by
- 332
- References
- 8
- FWCI
- 12.45
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: A genetic approach to the quadratic assignment problem. https://app.cochat.ai/papers/10.1016/0305-0548(93)e0020-t
- The paper
- Tate, D. M., & Smith, A. E. (1995). A genetic approach to the quadratic assignment problem. Computers & Operations Research. https://doi.org/10.1016/0305-0548(93)e0020-t
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.
