Parameters estimation for a mechanistic model of high dose irradiation damages using Nelder-Mead simplex method and genetic algorithm

Radiation therapy is one of the cancer cells treatments that use high-energy radiation to shrink tumors and kill cancer cells. Radiation therapy kills cancer cells by damaging their DNA directly or creates charged particles within the cells that can in turn damage the DNA. As a side effect of the tr...

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Main Author:	Ahmad Kamal, Mohamad Hidayad
Format:	Thesis
Language:	English
Published:	2016
Subjects:	QD Chemistry
Online Access:	http://eprints.utm.my/id/eprint/81152/1/MohamadHidayadAhmadMFS2016.pdf
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spelling	my-utm-ep.811522019-07-24T03:34:54Z Parameters estimation for a mechanistic model of high dose irradiation damages using Nelder-Mead simplex method and genetic algorithm 2016-03 Ahmad Kamal, Mohamad Hidayad QD Chemistry Radiation therapy is one of the cancer cells treatments that use high-energy radiation to shrink tumors and kill cancer cells. Radiation therapy kills cancer cells by damaging their DNA directly or creates charged particles within the cells that can in turn damage the DNA. As a side effect of the treatment, the radiation therapy can also damage the normal cell that located at parts of our body. The main goals of radiation therapy are to maximise the damaging of tumors cell and minimise the damage of normal tissue cell. Hence, in this study, we adopt an existing model of high dose irradiation damage. The purpose of this study is to estimate the six parameters of the model which are involved. Two optimisation algorithms is used in order to estimate the parameters, there are Nelder-Mead simplex method and Genetic Algorithm. Both methods have to achieve the objective function which are to minimise the sum of square error (SSE) between the experimental data and simulation data. The performance of both algorithms are compared based on the computational time, number of iteration and value of sum of square error. The optimisation process is carried out using MATLAB programming built-in functions. The parameters estimation results shown that Nelder- Mead simplex method is more superior than Genetic Algorithm for this problem. 2016-03 Thesis http://eprints.utm.my/id/eprint/81152/ http://eprints.utm.my/id/eprint/81152/1/MohamadHidayadAhmadMFS2016.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:120190 masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QD Chemistry
spellingShingle	QD Chemistry Ahmad Kamal, Mohamad Hidayad Parameters estimation for a mechanistic model of high dose irradiation damages using Nelder-Mead simplex method and genetic algorithm
description	Radiation therapy is one of the cancer cells treatments that use high-energy radiation to shrink tumors and kill cancer cells. Radiation therapy kills cancer cells by damaging their DNA directly or creates charged particles within the cells that can in turn damage the DNA. As a side effect of the treatment, the radiation therapy can also damage the normal cell that located at parts of our body. The main goals of radiation therapy are to maximise the damaging of tumors cell and minimise the damage of normal tissue cell. Hence, in this study, we adopt an existing model of high dose irradiation damage. The purpose of this study is to estimate the six parameters of the model which are involved. Two optimisation algorithms is used in order to estimate the parameters, there are Nelder-Mead simplex method and Genetic Algorithm. Both methods have to achieve the objective function which are to minimise the sum of square error (SSE) between the experimental data and simulation data. The performance of both algorithms are compared based on the computational time, number of iteration and value of sum of square error. The optimisation process is carried out using MATLAB programming built-in functions. The parameters estimation results shown that Nelder- Mead simplex method is more superior than Genetic Algorithm for this problem.
format	Thesis
qualification_level	Master's degree
author	Ahmad Kamal, Mohamad Hidayad
author_facet	Ahmad Kamal, Mohamad Hidayad
author_sort	Ahmad Kamal, Mohamad Hidayad
title	Parameters estimation for a mechanistic model of high dose irradiation damages using Nelder-Mead simplex method and genetic algorithm
title_short	Parameters estimation for a mechanistic model of high dose irradiation damages using Nelder-Mead simplex method and genetic algorithm
title_full	Parameters estimation for a mechanistic model of high dose irradiation damages using Nelder-Mead simplex method and genetic algorithm
title_fullStr	Parameters estimation for a mechanistic model of high dose irradiation damages using Nelder-Mead simplex method and genetic algorithm
title_full_unstemmed	Parameters estimation for a mechanistic model of high dose irradiation damages using Nelder-Mead simplex method and genetic algorithm
title_sort	parameters estimation for a mechanistic model of high dose irradiation damages using nelder-mead simplex method and genetic algorithm
granting_institution	Universiti Teknologi Malaysia, Faculty of Science
granting_department	Faculty of Science
publishDate	2016
url	http://eprints.utm.my/id/eprint/81152/1/MohamadHidayadAhmadMFS2016.pdf
_version_	1747818309639733248

Parameters estimation for a mechanistic model of high dose irradiation damages using Nelder-Mead simplex method and genetic algorithm

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