A Criteria-Based Approach to the Traveling Salesman Problem (TSP)

Daryl Ono, Jose Rincón, Althea Thomas

Research output: Contribution to journalArticlepeer-review

Abstract

The “traveling salesman problem (TSP)” is a classic minimum cost network flow problem in mathematical programming and graph theory that can be formulated in multiple configurations. The fundamental question, however, is: “what is a cost”? The original “traveling salesman problem (TSP)” defines distance as the cost and the objective is to minimize distance traveled. This paper proposes other “cost” criteria to the original problem and also proposes a maximum revenue network flow as a variant to improve managerial decision-making. The proposed decision table methodology can be applied to problems that involve multiple locations or multiple tasks to complete.

Original languageEnglish
JournalWestern Decision Science Journal
StatePublished - 2020

Keywords

  • traveling salesman problem
  • NP-complete
  • profit maximization
  • greedy algorithm
  • distance minimization
  • time minimization

Disciplines

  • Business

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