A Hyperheuristic Approach for Location-Routing Problem of Cold Chain Logistics considering Fuel Consumption
المؤلفون المشاركون
Wang, Zheng
Leng, Longlong
Wang, Shun
Li, Gongfa
Zhao, Yanwei
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-01-04
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
In response to violent market competition and demand for low-carbon economy, cold chain logistics companies have to pay attention to customer satisfaction and carbon emission for better development.
In this paper, a biobjective mathematical model is established for cold chain logistics network in consideration of economic, social, and environmental benefits; in other words, the total cost and distribution period of cold chain logistics are optimized, while the total cost consists of cargo damage cost, refrigeration cost of refrigeration equipment, transportation cost, fuel consumption cost, penalty cost of time window, and operation cost of distribution centres.
One multiobjective hyperheuristic optimization framework is proposed to address this multiobjective problem.
In the framework, four selection strategies and four acceptance criteria for solution set are proposed to improve the performance of the multiobjective hyperheuristic framework.
As known from a comparative study, the proposed algorithm had better overall performance than NSGA-II.
Furthermore, instances of cold chain logistics are modelled and solved, and the resulting Pareto solution set offers diverse options for a decision maker to select an appropriate cold chain logistics distribution network in the interest of the logistics company.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Zheng& Leng, Longlong& Wang, Shun& Li, Gongfa& Zhao, Yanwei. 2020. A Hyperheuristic Approach for Location-Routing Problem of Cold Chain Logistics considering Fuel Consumption. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1138835
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Zheng…[et al.]. A Hyperheuristic Approach for Location-Routing Problem of Cold Chain Logistics considering Fuel Consumption. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1138835
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Zheng& Leng, Longlong& Wang, Shun& Li, Gongfa& Zhao, Yanwei. A Hyperheuristic Approach for Location-Routing Problem of Cold Chain Logistics considering Fuel Consumption. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1138835
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1138835
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