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A Metaheuristic Algorithm Based on Chemotherapy Science: CSA
المؤلفون المشاركون
Salmani, Mohammad Hassan
Eshghi, Kourosh
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-02-23
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Among scientific fields of study, mathematical programming has high status and its importance has led researchers to develop accurate models and effective solving approaches to addressing optimization problems.
In particular, metaheuristic algorithms are approximate methods for solving optimization problems whereby good (not necessarily optimum) solutions can be generated via their implementation.
In this study, we propose a population-based metaheuristic algorithm according to chemotherapy method to cure cancers that mainly search the infeasible region.
As in chemotherapy, Chemotherapy Science Algorithm (CSA) tries to kill inappropriate solutions (cancers and bad cells of the human body); however, this would inevitably risk incidentally destroying some acceptable solutions (healthy cells).
In addition, as the cycle of cancer treatment repeats over and over, the algorithm is iterated.
To align chemotherapy process with the proposed algorithm, different basic terms and definitions including Infeasibility Function (IF), objective function (OF), Cell Area (CA), and Random Cells (RCs) are presented in this study.
In the terminology of algorithms and optimization, IF and OF are mainly applicable as criteria to compare every pair of generated solutions.
Finally, we test CSA and its structure using the benchmark Traveling Salesman Problem (TSP).
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Salmani, Mohammad Hassan& Eshghi, Kourosh. 2017. A Metaheuristic Algorithm Based on Chemotherapy Science: CSA. Journal of Optimization،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1185874
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Salmani, Mohammad Hassan& Eshghi, Kourosh. A Metaheuristic Algorithm Based on Chemotherapy Science: CSA. Journal of Optimization No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1185874
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Salmani, Mohammad Hassan& Eshghi, Kourosh. A Metaheuristic Algorithm Based on Chemotherapy Science: CSA. Journal of Optimization. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1185874
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1185874
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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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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