Original scientific paper
https://doi.org/10.18048/2019.57.05.
On the Traveling Salesman Problem in Nautical Environments: an Evolutionary Computing Approach to Optimization of Tourist Route Paths in Medulin, Croatia
Sandi Baressi Šegota
orcid.org/0000-0002-3015-1024
; University of Rijeka, Faculty of Engineering
Ivan Lorencin
; University of Rijeka, Faculty of Engineering
Kazuhiro Ohkura
; Hiroshima University
Zlatan Car
orcid.org/0000-0003-2817-9252
; University of Rijeka, Faculty of Engineering
Abstract
The Traveling salesman problem (TSP) defines the problem of finding the optimal path between multiple points, connected by paths of a certain cost. This paper applies that problem formulation in the maritime environment, specifically a path planning problem for a tour boat visiting popular tourist locations in Medulin, Croatia. The problem is solved using two evolutionary computing methods – the genetic algorithm (GA) and the simulated annealing (SA) - and comparing the results (are compared) by an extensive search of the solution space. The results show that evolutionary computing algorithms provide comparable results to an extensive search in a shorter amount of time, with SA providing better results of the two.
Keywords
evolutionary computing; genetic algorithm; simulated annealing; tourism; traveling salesman problem
Hrčak ID:
232665
URI
Publication date:
31.12.2019.
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