A Multilayer Genetic Algorithm for Automated Guided Vehicles and Dual Automated Yard Cranes Coordinated Scheduling
المؤلفون المشاركون
Zhao, Wenpeng
Zhao, Qianru
Ji, Shouwen
De, Xinling
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-17
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
At present, a lot of studies on automatic terminal scheduling are aimed at the shortest operating time.
An effective way to reduce the operating time is to increase the amount of operating equipment.
However, people often ignore the additional costs and energy consumption caused by increasing the amount of equipment.
This paper comprehensively considers the two aspects of the equipment operation time and equipment quantity matching.
With the minimum total energy consumption of the operating equipment as the objective function, a cooperative scheduling model of Automated Guided Vehicles (AGVs) and dual Automated Yard Cranes (AYCs) is established.
In the modelling process, we also considered the interference problem between dual Automated Yard Cranes (AYCs).
In order to solve this complex model, this paper designs an improved multilayer genetic algorithm.
Finally, the calculation results from CPLEX and a multilayer genetic algorithm are compared, and the effectiveness of the model and algorithm is proved by experiments.
In addition, at the same time, it is proved that it is necessary to consider the interference problem of dual Automated Yard Cranes (AYCs), and the optimal quantity matching scheme for the equipment and the optimal temporary storage location is given.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhao, Qianru& Ji, Shouwen& Zhao, Wenpeng& De, Xinling. 2020. A Multilayer Genetic Algorithm for Automated Guided Vehicles and Dual Automated Yard Cranes Coordinated Scheduling. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1196087
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhao, Qianru…[et al.]. A Multilayer Genetic Algorithm for Automated Guided Vehicles and Dual Automated Yard Cranes Coordinated Scheduling. Mathematical Problems in Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1196087
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhao, Qianru& Ji, Shouwen& Zhao, Wenpeng& De, Xinling. A Multilayer Genetic Algorithm for Automated Guided Vehicles and Dual Automated Yard Cranes Coordinated Scheduling. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1196087
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1196087
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