A Tabu-search based algorithm for concave cost transportation network problems

Shangyao Yan, So Cheng Luo

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

This research employs the tabu search method to develop an algorithm for efficiently solving concave cost transportation network problems which are characterized as NP-hard. An initial solution method and a linear approximation approach are also developed, to evaluate the algorithm. The preliminary results show that the algorithm is potentially useful.

Keywords

  • Concave Cost
  • Tabu Search
  • Transportation Problem

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