• ورود به سامانه
      مشاهده مورد 
      •   صفحهٔ اصلی
      • نشریات انگلیسی
      • International Journal of Supply and Operations Management
      • Volume 2, Issue 4
      • مشاهده مورد
      •   صفحهٔ اصلی
      • نشریات انگلیسی
      • International Journal of Supply and Operations Management
      • Volume 2, Issue 4
      • مشاهده مورد
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Capacitated Windy Rural Postman Problem with Several Vehicles: A Hybrid Multi-Objective Simulated Annealing Algorithm

      (ندگان)پدیدآور
      Rabbani, MasoudFamil Alamdar, SafouraFarrokhi-Asl, Hamed
      Thumbnail
      دریافت مدرک مشاهده
      FullText
      اندازه فایل: 
      813.3کیلوبایت
      نوع فايل (MIME): 
      PDF
      نوع مدرک
      Text
      Research Paper
      زبان مدرک
      English
      نمایش کامل رکورد
      چکیده
      This paper presents the capacitated Windy Rural Postman Problem with several vehicles. For this problem, two objectives are considered. One of them is the minimization of the total cost of all vehicle routes expressed by the sum of the total traversing cost and another one is reduction of the maximum cost of vehicle route in order to find a set of equitable tours for the vehicles. Mathematical formulation is provided. The multi-objective simulated annealing (MOSA) algorithm has been modified for solving this bi-objective NP-hard problem. To increase algorithm performance, Taguchi technique is applied to design experiments for tuning parameters of the algorithm. Numerical experiments are proposed to show efficiency of the model. Finally, the results of the MOSA have been compared with MOCS (multi-objective Cuckoo Search algorithm) to validate the performance of the proposed algorithm. The experimental results indicate that the proposed algorithm provides good solutions and performs significantly better than the MOCS.
      کلید واژگان
      Windy rural postman problem
      Multi-objective simulated annealing algorithm (MOSA)
      Multi-objective Cuckoo Search (MOCS)
      NP-hard problem
      optimization in supply chain management

      شماره نشریه
      4
      تاریخ نشر
      2016-02-01
      1394-11-12
      ناشر
      Kharazmi University
      سازمان پدید آورنده
      College of Engineering, University of Tehran, Tehran, Iran
      School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
      School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran

      URI
      https://dx.doi.org/10.22034/2015.4.03
      http://www.ijsom.com/article_2619.html
      https://iranjournals.nlai.ir/handle/123456789/78891

      مرور

      همه جای سامانهپایگاه‌ها و مجموعه‌ها بر اساس تاریخ انتشارپدیدآورانعناوینموضوع‌‌هااین مجموعه بر اساس تاریخ انتشارپدیدآورانعناوینموضوع‌‌ها

      حساب من

      ورود به سامانهثبت نام

      تازه ترین ها

      تازه ترین مدارک
      © کليه حقوق اين سامانه برای سازمان اسناد و کتابخانه ملی ایران محفوظ است
      تماس با ما | ارسال بازخورد
      قدرت یافته توسطسیناوب