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Cloud Service Optimization Method Based on Dynamic Artificial Ant-Bee Colony Algorithm in Agricultural Equipment Manufacturing
المؤلفون المشاركون
Zhou, Kai
Wen, Yongzhao
Wu, Wanying
Ni, Zhiyong
Jin, Tianguo
Long, Xiaojun
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-28
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
In view of the miniaturization and decentralization characteristics of agricultural equipment factories in China, agricultural equipment manufacturing is well suited to the cloud manufacturing model, but there is no specific research on cloud services optimization for it.
To fill the research gap, a cloud service optimization method is proposed in this paper.
For the optimization model, the dynamic coefficient strategy and the reliability feedback update strategy are added to the mathematical model to strengthen the applicability of farming season.
As optimization algorithm, a dynamic artificial ant-bee colony algorithm (DAABA) based on artificial ant colony algorithm and bee colony algorithm is presented.
The optimal fusion evaluation strategy is used to save optimization time by reducing the useless iteration, and the iterative adjustment threshold strategy is adopted to improve the accuracy of cloud service by increasing the size of bee colony.
Finally, the performance of DAABA is verified to be more superior by comparing with other algorithms.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhou, Kai& Wen, Yongzhao& Wu, Wanying& Ni, Zhiyong& Jin, Tianguo& Long, Xiaojun. 2020. Cloud Service Optimization Method Based on Dynamic Artificial Ant-Bee Colony Algorithm in Agricultural Equipment Manufacturing. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1202007
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhou, Kai…[et al.]. Cloud Service Optimization Method Based on Dynamic Artificial Ant-Bee Colony Algorithm in Agricultural Equipment Manufacturing. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1202007
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhou, Kai& Wen, Yongzhao& Wu, Wanying& Ni, Zhiyong& Jin, Tianguo& Long, Xiaojun. Cloud Service Optimization Method Based on Dynamic Artificial Ant-Bee Colony Algorithm in Agricultural Equipment Manufacturing. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1202007
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1202007
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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