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Tabu Search and Ejection Chains---Application to a Node Weighted Version of the Cardinality-Constrained TSP

Author

Listed:
  • Buyang Cao

    (Department of Transportation/Logistics Service, ESRI, Inc., 380 New York Street, Redlands, California 92373)

  • Fred Glover

    (Graduate School of Business and Administration, Campus Box 419, University of Colorado at Boulder, Boulder, Colorado 80309-0419)

Abstract

A cardinality-constrained TSP (CC-TSP) problem requires the salesman to visit at least L and at most U cities, represented by nodes of a graph. The objective of this problem is to maximize the sum of weights of nodes visited. In this paper we propose a tabu search method based on ejection chain procedures, which have proved effective for many kinds of combinatorial optimization problems. Computational results on a set of randomly generated test problems with various implementations of the algorithm are reported.

Suggested Citation

  • Buyang Cao & Fred Glover, 1997. "Tabu Search and Ejection Chains---Application to a Node Weighted Version of the Cardinality-Constrained TSP," Management Science, INFORMS, vol. 43(7), pages 908-921, July.
  • Handle: RePEc:inm:ormnsc:v:43:y:1997:i:7:p:908-921
    DOI: 10.1287/mnsc.43.7.908
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    Cited by:

    1. Vicky Mak-Hau, 2017. "On the kidney exchange problem: cardinality constrained cycle and chain problems on directed graphs: a survey of integer programming approaches," Journal of Combinatorial Optimization, Springer, vol. 33(1), pages 35-59, January.
    2. Colin Osterman & César Rego, 2016. "A k-level data structure for large-scale traveling salesman problems," Annals of Operations Research, Springer, vol. 244(2), pages 583-601, September.
    3. César Rego & Fred Glover, 2010. "Ejection chain and filter-and-fan methods in combinatorial optimization," Annals of Operations Research, Springer, vol. 175(1), pages 77-105, March.
    4. repec:jss:jstsof:23:c02 is not listed on IDEAS
    5. Darko Pongrac & Kristina Soric & Visnja Vojvodic Rosenzweig, 2007. "A Mathematical Model and Programme Support for Determination of the Values of the Marginal Reserve Requirement as Instrument of Monetary Policy," Financial Theory and Practice, Institute of Public Finance, vol. 31(3), pages 249-278.

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