Tumor Treatment Protocol by Using Genetic Algorithm Based Bernstein Polynomials and Sliding Mode Controller

Life threatening nature of cancer and toxic effects of chemotherapy demand for an optimal design of treatment protocol. The main objective of treatment design is to maintain adequate health of patient while administering a continuous chemo dose for effective decimation of cancer. Mathematical model...

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Autores principales:	Fazal Subhan, Muhammad Adnan Aziz, Jawad Ali Shah, Kushsairy Abdul Kadir, Ijaz Mansoor Qureshi
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Bernstein polynomial (BSP) nonlinear coupled ordinary differential equation (NCODE) genetic algorithm (GA) optimization sliding mode controller (SMC) Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/6a97706e71d749d9bb6269a954fe025f
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spelling	oai:doaj.org-article:6a97706e71d749d9bb6269a954fe025f2021-11-20T00:02:53ZTumor Treatment Protocol by Using Genetic Algorithm Based Bernstein Polynomials and Sliding Mode Controller2169-353610.1109/ACCESS.2021.3126491https://doaj.org/article/6a97706e71d749d9bb6269a954fe025f2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9606749/https://doaj.org/toc/2169-3536Life threatening nature of cancer and toxic effects of chemotherapy demand for an optimal design of treatment protocol. The main objective of treatment design is to maintain adequate health of patient while administering a continuous chemo dose for effective decimation of cancer. Mathematical model adopted in this paper is first order nonlinear coupled ordinary differential equation (NCODE) relating tumor, effector immune and normal cells under effect of chemotherapy. This paper primarily utilizes the Bernstein polynomial with genetic algorithm based coefficient tuning for solution of the tumor model. Secondarily sliding mode controller (SMC) is used as optimal control for normal and immune cells boosting in addition to escalated tumor minimization. The hybrid approach used in this research produces a potent minimization of cancer. Application of SMC ensures normal cells concentration well above the critical threshold; hence a continuous treatment dose is viable. Proposed methodology enhances the effect of chemotherapy over cancer while maintaining healthy state of patient.Fazal SubhanMuhammad Adnan AzizJawad Ali ShahKushsairy Abdul KadirIjaz Mansoor QureshiIEEEarticleBernstein polynomial (BSP)nonlinear coupled ordinary differential equation (NCODE)genetic algorithm (GA)optimizationsliding mode controller (SMC)Electrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 152503-152513 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Bernstein polynomial (BSP) nonlinear coupled ordinary differential equation (NCODE) genetic algorithm (GA) optimization sliding mode controller (SMC) Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Bernstein polynomial (BSP) nonlinear coupled ordinary differential equation (NCODE) genetic algorithm (GA) optimization sliding mode controller (SMC) Electrical engineering. Electronics. Nuclear engineering TK1-9971 Fazal Subhan Muhammad Adnan Aziz Jawad Ali Shah Kushsairy Abdul Kadir Ijaz Mansoor Qureshi Tumor Treatment Protocol by Using Genetic Algorithm Based Bernstein Polynomials and Sliding Mode Controller
description	Life threatening nature of cancer and toxic effects of chemotherapy demand for an optimal design of treatment protocol. The main objective of treatment design is to maintain adequate health of patient while administering a continuous chemo dose for effective decimation of cancer. Mathematical model adopted in this paper is first order nonlinear coupled ordinary differential equation (NCODE) relating tumor, effector immune and normal cells under effect of chemotherapy. This paper primarily utilizes the Bernstein polynomial with genetic algorithm based coefficient tuning for solution of the tumor model. Secondarily sliding mode controller (SMC) is used as optimal control for normal and immune cells boosting in addition to escalated tumor minimization. The hybrid approach used in this research produces a potent minimization of cancer. Application of SMC ensures normal cells concentration well above the critical threshold; hence a continuous treatment dose is viable. Proposed methodology enhances the effect of chemotherapy over cancer while maintaining healthy state of patient.
format	article
author	Fazal Subhan Muhammad Adnan Aziz Jawad Ali Shah Kushsairy Abdul Kadir Ijaz Mansoor Qureshi
author_facet	Fazal Subhan Muhammad Adnan Aziz Jawad Ali Shah Kushsairy Abdul Kadir Ijaz Mansoor Qureshi
author_sort	Fazal Subhan
title	Tumor Treatment Protocol by Using Genetic Algorithm Based Bernstein Polynomials and Sliding Mode Controller
title_short	Tumor Treatment Protocol by Using Genetic Algorithm Based Bernstein Polynomials and Sliding Mode Controller
title_full	Tumor Treatment Protocol by Using Genetic Algorithm Based Bernstein Polynomials and Sliding Mode Controller
title_fullStr	Tumor Treatment Protocol by Using Genetic Algorithm Based Bernstein Polynomials and Sliding Mode Controller
title_full_unstemmed	Tumor Treatment Protocol by Using Genetic Algorithm Based Bernstein Polynomials and Sliding Mode Controller
title_sort	tumor treatment protocol by using genetic algorithm based bernstein polynomials and sliding mode controller
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/6a97706e71d749d9bb6269a954fe025f
work_keys_str_mv	AT fazalsubhan tumortreatmentprotocolbyusinggeneticalgorithmbasedbernsteinpolynomialsandslidingmodecontroller AT muhammadadnanaziz tumortreatmentprotocolbyusinggeneticalgorithmbasedbernsteinpolynomialsandslidingmodecontroller AT jawadalishah tumortreatmentprotocolbyusinggeneticalgorithmbasedbernsteinpolynomialsandslidingmodecontroller AT kushsairyabdulkadir tumortreatmentprotocolbyusinggeneticalgorithmbasedbernsteinpolynomialsandslidingmodecontroller AT ijazmansoorqureshi tumortreatmentprotocolbyusinggeneticalgorithmbasedbernsteinpolynomialsandslidingmodecontroller
_version_	1718419838579245056

Tumor Treatment Protocol by Using Genetic Algorithm Based Bernstein Polynomials and Sliding Mode Controller

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