Solving Tourist Route Planning in Safari World with Hungarian and Greedy Algorithm

Authors

  • Nadol Ounsard Faculty of science at Sriracha, Kasetsart University, Sriracha Campus
  • Artitiya Nilpatch Faculty of science at Sriracha, Kasetsart University, Sriracha Campus
  • Kornphong Chonsiripong Assistant Professor in Faculty of science at Sriracha, Kasetsart University, Sriracha Campus

Keywords:

Safari world, the assignment problem, greedy algorithm

Abstract

The objective of this research is to find the shortest route for touring animal exhibits and attending all shows at Safari World. This problem is addressed by applying the assignment problem and a greedy algorithm. Initially, the assignment problem is utilized to determine the sequence of show visits. Following that, the greedy algorithm is employed to find the optimal route for visiting animal exhibits, maximizing the coverage between the routes to the shows. After executing these two steps, the research produces the shortest route, with a total distance of 7.578 kilometers, and tour starts at 9:00 AM and ends at 4:48 PM.

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Published

2024-06-20

How to Cite

[1]
N. . Ounsard, A. . Nilpatch, and K. Chonsiripong, “Solving Tourist Route Planning in Safari World with Hungarian and Greedy Algorithm”, TJOR, vol. 12, no. 1, pp. 53–62, Jun. 2024.