کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4950993 1441164 2017 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Solving vehicle routing problem by using improved genetic algorithm for optimal solution
ترجمه فارسی عنوان
حل مسئله مسیریابی خودرو با استفاده از الگوریتم ژنتیک بهبود یافته برای راه حل بهینه
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
چکیده انگلیسی
The findings outcome from this study have shown that: (1) A comprehensive listed of active GACVRP; (2) Identified and established an evaluation criterion for GACVRP of UNITEN; (3) Highlight the methods, based on hybrid crossover operation, for selecting the best way (4) genetic algorithm finds a shorter distance for route A and route B. The proportion of reduction the distance for each route is relatively short, but the savings in the distance becomes greater when calculating the total distances traveled by all buses daily or monthly. This applies also to the time factor that has been reduced slightly based on the rate of reduction in the distances of the routes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational Science - Volume 21, July 2017, Pages 255-262
نویسندگان
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