کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1023972 941657 2009 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A multi-population genetic algorithm for transportation scheduling
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری کسب و کار و مدیریت بین المللی
پیش نمایش صفحه اول مقاله
A multi-population genetic algorithm for transportation scheduling
چکیده انگلیسی

This study considers the integration of production and transportation scheduling in a two-stage supply chain environment. The objective function minimizes the total tardiness and total deviations of assigned work loads of suppliers from their quotas. After modeling the problem as a mixed integer programming problem, a genetic algorithm with three populations, namely, a multi-society genetic algorithm (MSGA), is proposed for solving it. MSGA is compared with the optimum solutions for small problems and a heuristic and a random search approach for larger problems. Additionally, an MSGA is compared with a generic genetic algorithm. The experimental results show the superiority of the MSGA.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part E: Logistics and Transportation Review - Volume 45, Issue 6, November 2009, Pages 946–959
نویسندگان
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