The Robustness of Two Common Heuristics for the p-Median Problem
- 1 April 1979
- journal article
- Published by SAGE Publications in Environment and Planning A: Economy and Space
- Vol. 11 (4), 373-380
- https://doi.org/10.1068/a110373
Abstract
Optimal p-median solutions were computed for six test problems on a network of forty-nine demand nodes and compared with solutions from two heuristic algorithms. Comparison of the optimal solutions with those from the Teitz and Bart heuristic indicates that this heuristic is very robust. Tests of the Maranzana heuristic, however, indicate that it is efficient only for small values of p (numbers of facilities) and that its robustness decreases rapidly as problem size increases.Keywords
This publication has 9 references indexed in Scilit:
- Optimising the oil pipeline system in the UK sector of the North SeaEnergy Policy, 1976
- The p‐Median Problem with Maximum Distance Constraints: A CommentGeographical Analysis, 1975
- A Parametric Decomposition Approach for the Solution of Uncapacitated Location ProblemsManagement Science, 1974
- An Algorithm for the M-Median Plant Location ProblemTransportation Science, 1974
- A New Algorithm for Locating Sources Among DestinationsManagement Science, 1973
- Technical Note—A Branch-and-Bound Algorithm for Seeking the P-MedianOperations Research, 1972
- Central Facilities LocationGeographical Analysis, 1970
- Heuristic Methods for Estimating the Generalized Vertex Median of a Weighted GraphOperations Research, 1968
- On the Location of Supply Points to Minimize Transport CostsJournal of the Operational Research Society, 1964