کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6854667 | 1437592 | 2018 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Complete hierarchical multi-objective genetic algorithm for transit network design problem
ترجمه فارسی عنوان
الگوریتم ژنتیک چند منظوره سلسله مراتبی کامل برای مسئله طراحی شبکه حمل و نقل
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کلمات کلیدی
حمل و نقل عمومی، الگوریتم ژنتیک، مسیریابی حمل و نقل، الگوریتم های ساختاری، تنظیم فرکانس،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Transit Network Design Problem is a multi-disciplinary problem that is considered one of the most intractable problems for real size networks. In the late 90s, Meta-heuristics started to prove more reliability to the problem. Genetic Algorithm (GA) is one of the popular Meta-heuristics which is usually implemented because it is simply adapted to the problem. In this study, GA is presented as a complete constructive multi-objective algorithm that creates its own routes from scratch then assembles the routes into efficient transit networks. Finally, it handles the multi-criteria nature of the problem until producing the optimal (near optimal) Pareto front solutions. A new frequency setting algorithm is also developed based on simulation results at the bus stop level which takes the bi-level decision making of both users and operators implicitly. Experimental studies on two real size networks are conducted to validate the methodology performance and robustness.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 114, 30 December 2018, Pages 143-154
Journal: Expert Systems with Applications - Volume 114, 30 December 2018, Pages 143-154
نویسندگان
Mahmoud Owais, Mostafa K. Osman,