Strategies for solving large location-allocation problems by heuristic methods
AbstractSolution techniques for location-allocation problems usually are not a part of microcomputer-based geoprocessmg systems because of the large volumes of data to process and store and the complexity of algorithms. In this paper, it is shown that processing costs for the most accurate, heuristic, location-allocation algorithm can be drastically reduced by exploiting the spatial structure of location-allocation problems. The strategies used, preprocessing interpoint distance data as both candidate and demand strings, and use of them to update an allocation table, allow the solution of large problems (3000 nodes) in a microcomputer-based, interactive decisionmaking environment. Moreover, these strategies yield solution times which increase approximately linearly with problem size. Tests on four network problems validate these claims.
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Bibliographic InfoArticle provided by Pion Ltd, London in its journal Environment and Planning A.
Volume (Year): 24 (1992)
Issue (Month): 2 (February)
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Web page: http://www.pion.co.uk
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- Rosing, K. E. & ReVelle, C. S., 1997. "Heuristic concentration: Two stage solution construction," European Journal of Operational Research, Elsevier, vol. 97(1), pages 75-86, February.
- Rosing, K. E. & ReVelle, C. S. & Rolland, E. & Schilling, D. A. & Current, J. R., 1998. "Heuristic concentration and Tabu search: A head to head comparison," European Journal of Operational Research, Elsevier, vol. 104(1), pages 93-99, January.
- K.E. Rosing & C.S. ReVelle, 1997. "Heuristic Concentration and Tabu Search: A Nose to Nose Comparison," Tinbergen Institute Discussion Papers 97-058/3, Tinbergen Institute.
- Vladimir Marianov & Daniel Serra & Charles Revelle, 1997.
"Location of hubs in a competitive environment,"
Economics Working Papers
227, Department of Economics and Business, Universitat Pompeu Fabra.
- Carreras, Miquel & Serra, Daniel, 1999.
"On optimal location with threshold requirements,"
Socio-Economic Planning Sciences,
Elsevier, vol. 33(2), pages 91-103, June.
- Miquel Carreras & Daniel Serra, 1997. "On optimal location with treshold requirements," Working Papers, Research Center on Health and Economics 220, Department of Economics and Business, Universitat Pompeu Fabra.
- Miquel Carreras & Daniel Serra, 1997. "On optimal location with treshold requirements," Economics Working Papers 220, Department of Economics and Business, Universitat Pompeu Fabra.
- Rosing, K. E. & ReVelle, C. S. & Schilling, D. A., 1999. "A gamma heuristic for the p-median problem," European Journal of Operational Research, Elsevier, vol. 117(3), pages 522-532, September.
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