Improving the Efficiency of Branch and Bound Algorithms for the Simple Plant Location Problem

  • Boris Goldengorin
  • Diptesh Ghosh
  • Gerard Sierksma
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2141)


The simple plant location problem is a well-studied problem in combinatorial optimization. It is one of deciding where to locate a set of plants so that a set of clients can be supplied by them at the minimum cost. This problem often appears as a subproblem in other combinatorial problems. Several branch and bound techniques have been developed to solve this problem. In this paper we present some techniques that enhance the performance of branch and bound algorithms. Computational experiments show that the new algorithms thus obtained generate less than 60% of the number of subproblems generated by branch and bound algorithms, and in certain cases require less than 10% of the execution times required by conventional branch and bound algorithms.


Execution Time Problem Instance Transportation Cost Partial Solution Average Execution Time 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Boris Goldengorin
    • 1
  • Diptesh Ghosh
    • 1
  • Gerard Sierksma
    • 1
  1. 1.Faculty of Economic SciencesUniversity of GroningenGroningenThe Netherlands

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