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A More Efficient Heuristic For Solving Large P‐Median Problems

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  • Paul J. Densham
  • Gerard Rushton

Abstract

ABSTRACT The Teitz and Bart (1968) vertex substitution heuristic is more robust than competing algorithms and yields solutions with properties that are necessary, but not sufficient, for a global optimum solution. All documented implementations of this algorithm, however, use a naive spatial search procedure, whereas a more informed spatial search procedure, requiring considerably less computation to solve any given problem, is possible. An algorithm incorporating this new search procedure, called the global/regional interchange algorithm, is described. As problem size increases, proportionally larger reductions in processing costs occur.

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  • Paul J. Densham & Gerard Rushton, 1992. "A More Efficient Heuristic For Solving Large P‐Median Problems," Papers in Regional Science, Wiley Blackwell, vol. 71(3), pages 307-329, July.
    • Handle: RePEc:bla:presci:v:71:y:1992:i:3:p:307-329
    DOI: 10.1111/j.1435-5597.1992.tb01849.x
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    Cited by:

    1. Zhizhu Lai & Qun Yue & Zheng Wang & Dongmei Ge & Yulong Chen & Zhihong Zhou, 2022. "The min-p robust optimization approach for facility location problem under uncertainty," Journal of Combinatorial Optimization, Springer, vol. 44(2), pages 1134-1160, September.
    2. Andries M. Heyns & Robert Banick, 2024. "Optimisation of rural roads planning based on multi-modal travel: a multi-service accessibility study in Nepal’s remote Karnali Province," Transportation, Springer, vol. 51(2), pages 567-613, April.
    3. Antiopi Panteli & Basilis Boutsinas & Ioannis Giannikos, 2021. "On solving the multiple p-median problem based on biclustering," Operational Research, Springer, vol. 21(1), pages 775-799, March.

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