Modified Atom Search Optimization Based on Immunologic Mechanism and Reinforcement Learning
المؤلفون المشاركون
Qu, Chiwen
Fu, Yanming
Li, Zhuohang
Chen, Haiqiang
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-22، 22ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-01-14
دولة النشر
مصر
عدد الصفحات
22
التخصصات الرئيسية
الملخص EN
Atom search optimization algorithm has good searching ability and has been successfully applied to calculate hydrogeological parameters and groundwater dispersion coefficient.
Since the atom search optimization algorithm is only based on the atom force motion model in molecular dynamics, it has some shortcomings such as slow search speed and low precision during the later stage of iteration.
A modified atom search optimization based on the immunologic mechanism and reinforcement learning is proposed to overcome the abovementioned shortcomings in this paper.
The proposed algorithm introduces a vaccine operator to better utilize the dominant position in the current atom population so that the speed, accuracy, and domain search ability of the atom search optimization algorithm can be strengthened.
The reinforcement learning operator is applied to dynamically adjust the vaccination probability to balance the global exploration ability and local exploitation ability.
The test results of 21 benchmark functions confirm that the performance of the proposed algorithm is superior to seven contrast algorithms in search accuracy, convergence speed, and robustness.
The proposed algorithm is used to optimize the permutation flow shop scheduling problem.
The experimental results indicate that the proposed algorithm can achieve better optimization results than the seven comparative algorithms, so the proposed algorithm has good practical application value.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Fu, Yanming& Li, Zhuohang& Qu, Chiwen& Chen, Haiqiang. 2020. Modified Atom Search Optimization Based on Immunologic Mechanism and Reinforcement Learning. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-22.
https://search.emarefa.net/detail/BIM-1195245
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Fu, Yanming…[et al.]. Modified Atom Search Optimization Based on Immunologic Mechanism and Reinforcement Learning. Mathematical Problems in Engineering No. 2020 (2020), pp.1-22.
https://search.emarefa.net/detail/BIM-1195245
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Fu, Yanming& Li, Zhuohang& Qu, Chiwen& Chen, Haiqiang. Modified Atom Search Optimization Based on Immunologic Mechanism and Reinforcement Learning. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-22.
https://search.emarefa.net/detail/BIM-1195245
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1195245
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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