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Commun. Math. Biol. Neurosci. 2026 (2026), Article ID 54

Modeling and control of crime using optimal control theory

Saida Khiyar, Mohamed Hafdane, Hamza Boutayeb, Khalid Adnaoui, Imane Elberrai

Abstract

This research introduces a compartmental mathematical model, inspired by epidemiology, to analyze crime dynamics and design reduction strategies. The population is divided into four groups: susceptible individuals, active criminals, prisoners, and rehabilitated individuals. Two control functions are incorporated: one aimed at deterrence through sanction policies, and the other focused on social reintegration via educational, psychological, and professional support programs. Based on optimal control theory, the model identifies relevant intervention strategies to prevent crime and improve its management. The theoretical findings are validated through numerical simulations using MATLAB, comparing the system’s evolution with and without intervention. This approach offers a solid analytical framework to support the development of integrated, flexible, and adaptive public policies addressing contemporary crime-related challenges.

Published
16 June 2026
Volume
2026 (2026)
License
CC BY 3.0

Copyright © 2026 Saida Khiyar, Mohamed Hafdane, Hamza Boutayeb, Khalid Adnaoui, Imane Elberrai. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article

S. Khiyar, M. Hafdane, H. Boutayeb, K. Adnaoui, I. Elberrai, Modeling and control of crime using optimal control theory, Commun. Math. Biol. Neurosci. 2026 (2026), 54. https://doi.org/10.28919/cmbn/9397

BibTeX
@article{Khiyar2026,
  author  = {Khiyar, Saida and Hafdane, Mohamed and Boutayeb, Hamza and Adnaoui, Khalid and Elberrai, Imane},
  title   = {Modeling and control of crime using optimal control theory},
  journal = {Commun. Math. Biol. Neurosci.},
  volume  = {2026},
  year    = {2026},
  pages   = {54},
  doi     = {10.28919/cmbn/9397}
}