Genetic algorithm applied to tourism in Panama
DOI:
https://doi.org/10.37387/ipc.v12i1.373Keywords:
graph, hamiltonian path, traveling salesman problem, genetic algorithm, tourismAbstract
This article aims to determine a tourist route in Panama City through the implementation of a genetic algorithm; where we are faced with a classic problem of Graph Theory, which is to find a path that passes through several points of interest, with the restriction that it passes only once and ends in one place, and if we add another restriction that is the shortest route, the problem becomes a TSP (Traveling Salesman Problem). Through computational experiments, it is established that the genetic algorithm generates a shortest path that satisfies the restrictions. It is concluded that the genetic algorithm provides efficient solutions in a short time, for which its implementation is recommended in other types of optimization problems.
Downloads
References
Beasley, D., Bull, D. R., & Martin, R. R. (1993). An overview of genetic algorithms: Part 1, fundamentals. Universitycomputing, 15(2), 56-69. https://mat.uab.cat/~alseda/MasterOpt/Beasley93GA1.pdf
Booker, L. B., Goldberg, D. E., & Holland, J. H. (1989). Classifier systems and genetic algorithms. Artificial intelligence,40(1-3), 235-282. https://doi.org/10.1016/0004-3702(89)90050-7
Conroy, G. (1991). Handbook of genetic algorithms by Lawrence Davis (Ed.), Chapman & Hall, London, 1991, pp385, £32.50. e Knowledge Engineering Review, 6(4), 363-365. https://doi.org/10.1017/S0269888900006068
Reina, D., Nozal, A. y Córdoba, A. (2020). Algoritmos Genéticos con Python. Editorial Marcombo.ISBN:9788426729859
Trujillo, J. (2019). Grafos hamiltonianos aplicado al turismo de Panamá. Investigación y Pensamiento Crítico, 7(1),109–113. https://doi.org/10.37387/ipc.v7i1.12
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 info:eu-repo/semantics/openAccess
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
1. The Publications Service of the Universidad Católica Santa María La Antigua (the publisher) preserves the patrimonial rights (copyright) of the published works, and favors and allows their reuse.
2. The magazine (and its contents) use Creative Commons licenses, specifically the CC BY NC SA type, where: "the beneficiary of the license has the right to copy, distribute, display and represent the work and make derivative works provided you acknowledge and cite the work in the manner specified by the author or licensor." Abstract: https://creativecommons.org/licenses/by-nc-sa/4.0/ license: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
3. They can be copied, used, disseminated, transmitted and exhibited publicly, provided that: i) the authorship and the original source of its publication (magazine, publisher and URL, DOI of the work) are cited; ii) are not used for commercial purposes.
4. Conditions of self-archiving. Authors are encouraged to electronically disseminate the post-print versions (version evaluated and accepted for publication), as it favors their circulation and dissemination, increases their citation and reach among the academic community.