کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
865641 | 909677 | 2008 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Intelligent Scheduling of Public Traffic Vehicles Based on a Hybrid Genetic Algorithm
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Intelligent Scheduling of Public Traffic Vehicles Based on a Hybrid Genetic Algorithm Intelligent Scheduling of Public Traffic Vehicles Based on a Hybrid Genetic Algorithm](/preview/png/865641.png)
چکیده انگلیسی
A genetic algorithm (GA) and a hybrid genetic algorithm (HGA) were used for optimal scheduling of public vehicles based on their actual operational environments. The performance for three kinds of vehicular levels were compared using one-point and two-point crossover operations. The vehicle scheduling times are improved by the intelligent characteristics of the GA. The HGA, which integrates the genetic algorithm with a tabu search, further improves the convergence performance and the optimization by avoiding the premature convergence of the GA. The results show that intelligent scheduling of public vehicles based on the HGA overcomes the shortcomings of traditional scheduling methods. The vehicle operation management efficiency is improved by this essential technology for intelligent scheduling of public vehicles.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Tsinghua Science & Technology - Volume 13, Issue 5, October 2008, Pages 625-631
Journal: Tsinghua Science & Technology - Volume 13, Issue 5, October 2008, Pages 625-631
نویسندگان
Zhang (å¼ é£è), Cao (æ¹å¦å), Yang (æ¨ä¸å¯),