کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10322997 | 660879 | 2011 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Genetic algorithm-based heuristic for capacitated lotsizing problem in flow shops with sequence-dependent setups
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
⺠Presenting a more efficient heuristic approach for the problem of lotsizing in capacitated flow shops with sequence-dependent setups is the main focus of our research. ⺠Our proposed heuristic combines genetic algorithm with rolling horizon approach. The full factorial design has been used to calibrate the heuristic. ⺠In order to evaluate the effectiveness of the proposed heuristic, some numerical experiments are generated and corresponding results are compared with those of formerly developed heuristics. ⺠The comparative results indicate the superiority of proposed heuristic specially in solving the large-sized problem instances.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 38, Issue 6, June 2011, Pages 7201-7207
Journal: Expert Systems with Applications - Volume 38, Issue 6, June 2011, Pages 7201-7207
نویسندگان
M. Mohammadi, S.M.T. Fatemi Ghomi,