Optimal Control Strategy for a Discrete Time Smoking Model with Specific Saturated Incidence Rate
The aim of this paper is to study and investigate the optimal control strategy of a discrete mathematical model of smoking with specific saturated incidence rate. The population that we are going to study is divided into five compartments: potential smokers, light smokers, heavy smokers, temporary q...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2018-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2018/5949303 |
id |
doaj-049b59be91d24956adbce489d81a4b95 |
---|---|
record_format |
Article |
spelling |
doaj-049b59be91d24956adbce489d81a4b952020-11-24T20:54:29ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X2018-01-01201810.1155/2018/59493035949303Optimal Control Strategy for a Discrete Time Smoking Model with Specific Saturated Incidence RateAbderrahim Labzai0Omar Balatif1Mostafa Rachik2Laboratory of Analysis Modeling and Simulation, Department of Mathematics and Computer Science, Faculty of Sciences Ben M’Sik, Hassan II University Mohammedia, Sidi Othman, Casablanca, MoroccoMathematical Engineering Team (INMA), 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, Hassan II University Mohammedia, Sidi Othman, Casablanca, MoroccoThe aim of this paper is to study and investigate the optimal control strategy of a discrete mathematical model of smoking with specific saturated incidence rate. The population that we are going to study is divided into five compartments: potential smokers, light smokers, heavy smokers, temporary quitters of smoking, and permanent quitters of smoking. Our objective is to find the best strategy to reduce the number of light smokers, heavy smokers, and temporary quitters of smoking. We use three control strategies which are awareness programs through media and education, treatment, and psychological support with follow-up. Pontryagins 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 performance of the optimization strategy.http://dx.doi.org/10.1155/2018/5949303 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Abderrahim Labzai Omar Balatif Mostafa Rachik |
spellingShingle |
Abderrahim Labzai Omar Balatif Mostafa Rachik Optimal Control Strategy for a Discrete Time Smoking Model with Specific Saturated Incidence Rate Discrete Dynamics in Nature and Society |
author_facet |
Abderrahim Labzai Omar Balatif Mostafa Rachik |
author_sort |
Abderrahim Labzai |
title |
Optimal Control Strategy for a Discrete Time Smoking Model with Specific Saturated Incidence Rate |
title_short |
Optimal Control Strategy for a Discrete Time Smoking Model with Specific Saturated Incidence Rate |
title_full |
Optimal Control Strategy for a Discrete Time Smoking Model with Specific Saturated Incidence Rate |
title_fullStr |
Optimal Control Strategy for a Discrete Time Smoking Model with Specific Saturated Incidence Rate |
title_full_unstemmed |
Optimal Control Strategy for a Discrete Time Smoking Model with Specific Saturated Incidence Rate |
title_sort |
optimal control strategy for a discrete time smoking model with specific saturated incidence rate |
publisher |
Hindawi Limited |
series |
Discrete Dynamics in Nature and Society |
issn |
1026-0226 1607-887X |
publishDate |
2018-01-01 |
description |
The aim of this paper is to study and investigate the optimal control strategy of a discrete mathematical model of smoking with specific saturated incidence rate. The population that we are going to study is divided into five compartments: potential smokers, light smokers, heavy smokers, temporary quitters of smoking, and permanent quitters of smoking. Our objective is to find the best strategy to reduce the number of light smokers, heavy smokers, and temporary quitters of smoking. We use three control strategies which are awareness programs through media and education, treatment, and psychological support with follow-up. Pontryagins 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 performance of the optimization strategy. |
url |
http://dx.doi.org/10.1155/2018/5949303 |
work_keys_str_mv |
AT abderrahimlabzai optimalcontrolstrategyforadiscretetimesmokingmodelwithspecificsaturatedincidencerate AT omarbalatif optimalcontrolstrategyforadiscretetimesmokingmodelwithspecificsaturatedincidencerate AT mostafarachik optimalcontrolstrategyforadiscretetimesmokingmodelwithspecificsaturatedincidencerate |
_version_ |
1716794387269156864 |