کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11002265 | 1437241 | 2018 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Comparison of advantages and disadvantages among various algorithms in logistics path design-Taking H-group as an example
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
There are many kinds of VRP problems and there are many ways to solve them. In this paper, we use ant colony algorithm, genetic algorithm, and annealing algorithm to optimize the selection of the logistics path of H-group located at He Nan Province. It establishes an algorithm evaluation system, and analyzes the performance of the three algorithms in six dimensions from qualitative and quantitative perspectives. Through MATLAB data calculation, we found that the ant colony algorithm performs equally well on the solution quality, solution efficiency, code storage, robustness, adaptability, and optimality.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Cognitive Systems Research - Volume 52, December 2018, Pages 843-852
Journal: Cognitive Systems Research - Volume 52, December 2018, Pages 843-852
نویسندگان
Miao Yu, Shuo Li, Menglei Kong, Jinguo Song, Jing Yang, Guowen Ren,