A MULTIOBJECTIVE PROGRAMMING APPROACH FOR SELECTING NON-INDEPENDENT TRANSPORTATION INVESTMENT ALTERNATIVES

This article presents a new method for Selecting Non-Independent Transportation Investment Alternatives (SENTRA). This method utilizes effective distance heuristic algorithm which attempts to maximize the achieved objectives needed to satisfy available resources. Since transportation investment planning cannot avoid dealing with issues of interdependence among alternatives, this paper considers four types of investment alternatives: independence, complementarity, substitution and common complementary substitution. Transportation investment alternative selection problem can be formulated in terms of the 0-1 multiobjective multidimensional knapsack problem. Possessing the characteristics of NP-completeness, strict computation is not necessary for the optimal solution, but simple computation for near-optimal solution is expected. The method is proposed in this paper so as to attain the near-optimal solution, which, aside from ranking the selected transportation investment alternatives, can easily perform sensitivity analysis.

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  • Corporate Authors:

    Elsevier

    The Boulevard, Langford Lane
    Kidlington, Oxford  United Kingdom  OX5 1GB
  • Authors:
    • Teng, J-Y
    • Tzeng, G-H
  • Publication Date: 1996-8

Language

  • English

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Filing Info

  • Accession Number: 00723333
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Jul 25 1996 12:00AM