کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1023993 | 941658 | 2008 | 24 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Combining Lagrangian heuristic and Ant Colony System to solve the Single Source Capacitated Facility Location Problem
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کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی
مدیریت، کسب و کار و حسابداری
کسب و کار و مدیریت بین المللی
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چکیده انگلیسی
The facility location problems have been applied extensively in practice. We describe a Multiple Ant Colony System (MACS) to solve the Single Source Capacitated Facility Location Problem (SSCFLP). Lagrangian heuristics have been shown to produce good solutions for the SSCFLP. A hybrid algorithm, which combines Lagrangian heuristic and Ant Colony System (ACS), LH–ACS, is developed for the SSCFLP. The performance of the proposed methods are tested on two sets of benchmark instances and compared with other heuristic algorithms in the literature. The computational results indicate that both MACS and LH–ACS are effective and efficient for the SSCFLP and competitive with other well-known algorithms.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part E: Logistics and Transportation Review - Volume 44, Issue 6, November 2008, Pages 1099–1122
Journal: Transportation Research Part E: Logistics and Transportation Review - Volume 44, Issue 6, November 2008, Pages 1099–1122
نویسندگان
Chia-Ho Chen, Ching-Jung Ting,