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...

Full description

Bibliographic Details
Main Authors: Abderrahim Labzai, Omar Balatif, Mostafa Rachik
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