Optimal control of fractional integro-differential systems based on a spectral method and grey wolf optimizer

This paper elaborated an effective and robust metaheuristic algorithm with acceptable performance based on solution accuracy. The algorithm applied in solution of the optimal control of fractional Volterra integro-differential (FVID) equation which be substituted by nonlinear programming (NLP). Subs...

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Main Authors: Raheleh Khanduzi, Asyieh Ebrahimzadeh, Samaneh Panjeh Ali Beik
Format: Article
Language:English
Published: Balikesir University 2020-01-01
Series:An International Journal of Optimization and Control: Theories & Applications
Subjects:
Online Access:http://www.ijocta.org/index.php/files/article/view/753
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spelling doaj-9e33879678e3422cbf47cefe358975672021-03-09T02:14:15ZengBalikesir UniversityAn International Journal of Optimization and Control: Theories & Applications 2146-09572146-57032020-01-0110110.11121/ijocta.01.2020.00753Optimal control of fractional integro-differential systems based on a spectral method and grey wolf optimizerRaheleh Khanduzi0Asyieh Ebrahimzadeh1Samaneh Panjeh Ali Beik2Department of Mathematics and Statistics, Gonbad Kavous University, Golestan, IranSchool of Basic Sciences, Farhangian University, Tehran, IranYoung Researchers and Elite Club, North Tehran Branch, Islamic Azad University, Tehran, IranThis paper elaborated an effective and robust metaheuristic algorithm with acceptable performance based on solution accuracy. The algorithm applied in solution of the optimal control of fractional Volterra integro-differential (FVID) equation which be substituted by nonlinear programming (NLP). Subsequently the FIVD convert the problem to a NLP by using spectral collocation techniques and thereafter we execute the grey wolf optimizer (GWO) to improve the speed and accuracy and find the solutions of the optimal control and state as well as the optimal value of the cost function. It is mentioned that the utilization of the GWO is simple, due to the fact that the GWO is global search algorithm, the method can be applied to find optimal solution of the NLP. The efficiency of the proposed scheme is shown by the results obtained in comparison with the local methods. Further, some illustrative examples introduced with their approximate solutions and the results of the present approach compared with those achieved using other methods.http://www.ijocta.org/index.php/files/article/view/753Optimal controlFractional Volterra integro-differential equationcollocation methodGrey wolf optimizer
collection DOAJ
language English
format Article
sources DOAJ
author Raheleh Khanduzi
Asyieh Ebrahimzadeh
Samaneh Panjeh Ali Beik
spellingShingle Raheleh Khanduzi
Asyieh Ebrahimzadeh
Samaneh Panjeh Ali Beik
Optimal control of fractional integro-differential systems based on a spectral method and grey wolf optimizer
An International Journal of Optimization and Control: Theories & Applications
Optimal control
Fractional Volterra integro-differential equation
collocation method
Grey wolf optimizer
author_facet Raheleh Khanduzi
Asyieh Ebrahimzadeh
Samaneh Panjeh Ali Beik
author_sort Raheleh Khanduzi
title Optimal control of fractional integro-differential systems based on a spectral method and grey wolf optimizer
title_short Optimal control of fractional integro-differential systems based on a spectral method and grey wolf optimizer
title_full Optimal control of fractional integro-differential systems based on a spectral method and grey wolf optimizer
title_fullStr Optimal control of fractional integro-differential systems based on a spectral method and grey wolf optimizer
title_full_unstemmed Optimal control of fractional integro-differential systems based on a spectral method and grey wolf optimizer
title_sort optimal control of fractional integro-differential systems based on a spectral method and grey wolf optimizer
publisher Balikesir University
series An International Journal of Optimization and Control: Theories & Applications
issn 2146-0957
2146-5703
publishDate 2020-01-01
description This paper elaborated an effective and robust metaheuristic algorithm with acceptable performance based on solution accuracy. The algorithm applied in solution of the optimal control of fractional Volterra integro-differential (FVID) equation which be substituted by nonlinear programming (NLP). Subsequently the FIVD convert the problem to a NLP by using spectral collocation techniques and thereafter we execute the grey wolf optimizer (GWO) to improve the speed and accuracy and find the solutions of the optimal control and state as well as the optimal value of the cost function. It is mentioned that the utilization of the GWO is simple, due to the fact that the GWO is global search algorithm, the method can be applied to find optimal solution of the NLP. The efficiency of the proposed scheme is shown by the results obtained in comparison with the local methods. Further, some illustrative examples introduced with their approximate solutions and the results of the present approach compared with those achieved using other methods.
topic Optimal control
Fractional Volterra integro-differential equation
collocation method
Grey wolf optimizer
url http://www.ijocta.org/index.php/files/article/view/753
work_keys_str_mv AT rahelehkhanduzi optimalcontroloffractionalintegrodifferentialsystemsbasedonaspectralmethodandgreywolfoptimizer
AT asyiehebrahimzadeh optimalcontroloffractionalintegrodifferentialsystemsbasedonaspectralmethodandgreywolfoptimizer
AT samanehpanjehalibeik optimalcontroloffractionalintegrodifferentialsystemsbasedonaspectralmethodandgreywolfoptimizer
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