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PI-D controller based on an improved crow search algorithm for cancer growth treatment
المؤلفون المشاركون
Husayn, Muhammad A.
Karam, Ikhlas H.
المصدر
Journal of Engineering and Sustainable Development
العدد
المجلد 25، العدد 6 (30 يونيو/حزيران 2021)، ص ص. 82-90، 9ص.
الناشر
الجامعة المستنصرية كلية الهندسة
تاريخ النشر
2021-06-30
دولة النشر
العراق
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
الملخص EN
The number of cancer diagnoses and deaths worldwide is rising every year despite technological advancements in diagnosing and treating multiple forms of cancer.
An oncolytic virus is a type of tumour-killing virus that can infect and analyze cancer cells while mostly preserving normal cells.
The oncolytic Vesicular-Stomatitis Virus therapeutic's cell cycle-specific action mathematically investigated.
An optimal Proportion Integral-Derivative (PI-D) controller is introduced in this paper based on a suggested Improved Crow Search Algorithm (ICSA) to enhance the outcome of oncolytic virotherapy.
The control technique was tested in a computer using MATLAB simulation.
The suggested ICSA is used to tune the parameters of the PI-D controller.
The ICSA used the inertia factor and boundary handle mechanism in the position update equation to balance exploration and exploitation.
The simulation results show that decrease in total dose, tumour cells to 30% , the tumour remain in the treatment area from day 30 onwards.
Furthermore, the ICSA algorithm outperforms the CSA and PSO algorithms by 34.5497×10-6 and 15.2573 ×10-6, respectively, indicating the robustness of treatment methods that can accomplish tumour reduction through biological parameters The number of cancer diagnoses and deaths worldwide is rising every year despite technological advancements in diagnosing and treating multiple forms of cancer.
An oncolytic virus is a type of tumour-killing virus that can infect and analyze cancer cells while mostly preserving normal cells.
The oncolytic Vesicular-Stomatitis Virus therapeutic's cell cycle-specific action mathematically investigated.
An optimal Proportion Integral-Derivative (PI-D) controller is introduced in this paper based on a suggested Improved Crow Search Algorithm (ICSA) to enhance the outcome of oncolytic virotherapy.
The control technique was tested in a computer using MATLAB simulation.
The suggested ICSA is used to tune the parameters of the PI-D controller.
The ICSA used the inertia factor and boundary handle mechanism in the position update equation to balance exploration and exploitation.
The simulation results show that decrease in total dose, tumour cells to 30% , the tumour remain in the treatment area from day 30 onwards.
Furthermore, the ICSA algorithm outperforms the CSA and PSO algorithms by 34.5497×10-6 and 15.2573 ×10-6, respectively, indicating the robustness of treatment methods that can accomplish tumour reduction through biological parameters ambiguity.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Husayn, Muhammad A.& Karam, Ikhlas H.. 2021. PI-D controller based on an improved crow search algorithm for cancer growth treatment. Journal of Engineering and Sustainable Development،Vol. 25, no. 6, pp.82-90.
https://search.emarefa.net/detail/BIM-1368947
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Husayn, Muhammad A.& Karam, Ikhlas H.. PI-D controller based on an improved crow search algorithm for cancer growth treatment. Journal of Engineering and Sustainable Development Vol. 25, no. 6 (2021), pp.82-90.
https://search.emarefa.net/detail/BIM-1368947
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Husayn, Muhammad A.& Karam, Ikhlas H.. PI-D controller based on an improved crow search algorithm for cancer growth treatment. Journal of Engineering and Sustainable Development. 2021. Vol. 25, no. 6, pp.82-90.
https://search.emarefa.net/detail/BIM-1368947
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
-
رقم السجل
BIM-1368947
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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