The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Review of the Placement and Quadratic Assignment Problems
Abstract
The physical design of a computer requires the placement of logic packages which must be interconnected to form a backplane. In this paper' the placement problem is explored and a survey of algorithms is presented for the attack of it and the associated quadratic assignment problem. Also presented are known experimental results of the algorithms defined, conclusions and areas for future research. Although the problem of placement of modules has been emphasized, the techniques are useful for handling the general problem of finding optimal locations for a set of objects that must be interconnected.
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Citations
Cites
The Hungarian method for the assignment problem
Kuhn, H. W. (1955) · Naval Research Logistics Quarterly · doi:10.1002/nav.3800020109 · Cited by 13,120
Cited by
Static scheduling algorithms for allocating directed task graphs to multiprocessors
Kwok, Y.-K., & Ahmad, I. (1999) · ACM Computing Surveys · doi:10.1145/344588.344618 · Cited by 1,314
A genetic approach to the quadratic assignment problem
Tate, D. M., & Smith, A. E. (1995) · Computers & Operations Research · doi:10.1016/0305-0548(93)e0020-t · Cited by 332
Some Simple Applications of the Travelling Salesman Problem
Lenstra, J. K., & Kan, A. H. G. R. (1975) · Journal of the Operational Research Society · doi:10.1057/jors.1975.151 · Cited by 270
Metadata
- Authors
- Hanan, M., & Kurtzberg, J. M.
- Venue
- SIAM Review
- Published
- 1972-04
- Volume
- 14
- Issue
- 2
- Pages
- 324-342
- ISSN
- 0036-1445 (ISSN-L)
- 1095-7200
- OpenAlex
- W1980129108
- Cited by
- 169
- References
- 1
- FWCI
- 12.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hanan, M., & Kurtzberg, J. M. (1972). A Review of the Placement and Quadratic Assignment Problems. SIAM Review. https://doi.org/10.1137/1014035
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.