P J Densham
Biographic Data
| ID | 2262216 |
|---|---|
| NAME | P J Densham |
| GIVEN NAMES | P J |
| FAMILY NAME | Densham |
| SIGNATURE | DENSHAM P J |
| AFFILIATIONS | National Center for Geographic Information and Analysis, and Department of Geography, State University of New York at Buffalo, Buffalo, NY 14261, USA |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 9 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1992 |
| LATEST PUBLICATION YEAR | 1992 |
| H-INDEX | 1 |
Strategies for Solving Large Location-Allocation Problems by Heuristic Methods
Solution techniques for location-allocation problems usually are not a part of microcomputer-based geoprocessing 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, preproc…
Strategies for Solving Large Location-Allocation Problems by Heuristic Methods
Solution techniques for location-allocation problems usually are not a part of microcomputer-based geoprocessing 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, preproc…
Strategies for Solving Large Location-Allocation Problems by Heuristic Methods
Solution techniques for location-allocation problems usually are not a part of microcomputer-based geoprocessing 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, preproc…
Artificial Intelligence (1 work) · Computer network (1 work) · Computer Science (1 work) · Data mining (1 work) · Facility Location and Emergency Management (1 work) · Geoprocessing (1 work) · Heuristic (1 work) · Location-allocation (1 work) · Mathematical optimization (1 work) · Mathematics (1 work)