Mathematical Modeling and Optimal Control Strategy for a Discrete Time Drug Consumption Model
The aim of this paper is to study and investigate the optimal control strategy of a discrete mathematical model of drug consumption. The population that we are going to study is divided into six compartments: potential drug users, light drug users, heavy drug users, heavy drug users-dealers and prov...
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doaj-9d33f6ea2ea14753aa549d4384efba2a2020-11-25T03:49:55ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X2020-01-01202010.1155/2020/56714935671493Mathematical Modeling and Optimal Control Strategy for a Discrete Time Drug Consumption ModelAbderrahim Labzai0Abdelfatah Kouidere1Bouchaib Khajji2Omar Balatif3Mostafa Rachik4Laboratory of Analysis, Modeling and Simulation, Department of Mathematics and Computer Science, Faculty of Sciences Ben M’Sik Sidi Othman, Hassan II University, Casablanca, MoroccoLaboratory of Analysis, Modeling and Simulation, Department of Mathematics and Computer Science, Faculty of Sciences Ben M’Sik Sidi Othman, Hassan II University, Casablanca, MoroccoLaboratory of Analysis, Modeling and Simulation, Department of Mathematics and Computer Science, Faculty of Sciences Ben M’Sik Sidi Othman, Hassan II University, Casablanca, MoroccoLaboratory of Dynamical Systems, Department of Mathematics, Faculty of Sciences El Jadida, Chouaib Doukkali University, El Jadida, MoroccoLaboratory of Analysis, Modeling and Simulation, Department of Mathematics and Computer Science, Faculty of Sciences Ben M’Sik Sidi Othman, Hassan II University, Casablanca, MoroccoThe aim of this paper is to study and investigate the optimal control strategy of a discrete mathematical model of drug consumption. The population that we are going to study is divided into six compartments: potential drug users, light drug users, heavy drug users, heavy drug users-dealers and providers, temporary quitters of drug consumption, and permanent quitters of drug consumption. Our objective is to find the best strategy to reduce the number of light drug users, heavy drug users, heavy drug users-dealers and providers, and temporary quitters of drug consumption. We use four control strategies which are awareness programs through media and education, preventing contact through security campaigns, treatment, and psychological support along with follow-up. Pontryagin’s maximum principle in discrete time is used to characterize the optimal controls. The numerical simulation is carried out using MATLAB. Consequently, the obtained results confirm the effectiveness of the optimization strategy.http://dx.doi.org/10.1155/2020/5671493 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Abderrahim Labzai Abdelfatah Kouidere Bouchaib Khajji Omar Balatif Mostafa Rachik |
spellingShingle |
Abderrahim Labzai Abdelfatah Kouidere Bouchaib Khajji Omar Balatif Mostafa Rachik Mathematical Modeling and Optimal Control Strategy for a Discrete Time Drug Consumption Model Discrete Dynamics in Nature and Society |
author_facet |
Abderrahim Labzai Abdelfatah Kouidere Bouchaib Khajji Omar Balatif Mostafa Rachik |
author_sort |
Abderrahim Labzai |
title |
Mathematical Modeling and Optimal Control Strategy for a Discrete Time Drug Consumption Model |
title_short |
Mathematical Modeling and Optimal Control Strategy for a Discrete Time Drug Consumption Model |
title_full |
Mathematical Modeling and Optimal Control Strategy for a Discrete Time Drug Consumption Model |
title_fullStr |
Mathematical Modeling and Optimal Control Strategy for a Discrete Time Drug Consumption Model |
title_full_unstemmed |
Mathematical Modeling and Optimal Control Strategy for a Discrete Time Drug Consumption Model |
title_sort |
mathematical modeling and optimal control strategy for a discrete time drug consumption model |
publisher |
Hindawi Limited |
series |
Discrete Dynamics in Nature and Society |
issn |
1026-0226 1607-887X |
publishDate |
2020-01-01 |
description |
The aim of this paper is to study and investigate the optimal control strategy of a discrete mathematical model of drug consumption. The population that we are going to study is divided into six compartments: potential drug users, light drug users, heavy drug users, heavy drug users-dealers and providers, temporary quitters of drug consumption, and permanent quitters of drug consumption. Our objective is to find the best strategy to reduce the number of light drug users, heavy drug users, heavy drug users-dealers and providers, and temporary quitters of drug consumption. We use four control strategies which are awareness programs through media and education, preventing contact through security campaigns, treatment, and psychological support along with follow-up. Pontryagin’s maximum principle in discrete time is used to characterize the optimal controls. The numerical simulation is carried out using MATLAB. Consequently, the obtained results confirm the effectiveness of the optimization strategy. |
url |
http://dx.doi.org/10.1155/2020/5671493 |
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