Genetic Algorithms: Optimization of patrolling routes

Authors

  • Eliseo S. GAMBA Facultad Regional Rosario - UTN- Argentina
  • Valentina M. DOMÍNGUEZ Facultad Regional Rosario - UTN- Argentina
  • Alejandro M. NAVARINI Facultad Regional Rosario - UTN- Argentina
  • Daniela DÍAZ, Directora
  • Víctor LOMBARDO, Director

Keywords:

Genetic Algorithms, Criminal Patterns, Optimization, Patrolling Routes

Abstract

UNODC report 2019 has shown Latin America to be the most violent region on the planet. Particularly, Argentina has recorded a crime rate of 3391 per 100,000 inhabitants in 2017, according to the National Criminal Information System (Sistema Nacional de Información Criminal, SNIC).

This has led us to think of alternatives that could help reduce this number, such as the tools applied in Artificial Intelligence to solve search and optimization problems. This work focuses specially on the generation and optimization of patrol routes. Contemplating as many crimes as possible for the selected area of Ramallo (Buenos Aires, Argentina), we would implement genetic algorithms and consider certain criminal patterns to develop an application (APP). Police personnel may have this APP in their cell phones to optimize the use of resources -both human and material- available.

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Published

2019-12-18

How to Cite

GAMBA, E. S., DOMÍNGUEZ, V. M., NAVARINI, A. M., DÍAZ, D., & LOMBARDO, V. (2019). Genetic Algorithms: Optimization of patrolling routes. AJEA (Proceedings of UTN Academic Conferences and Events), (1). Retrieved from https://rtyc.utn.edu.ar/index.php/ajea/article/view/528

Conference Proceedings Volume

No. 1 (2019): JIT - Jornadas de Jóvenes Investigadores Tecnológicos

Section

Proceedings - Information and Computer Systems