کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1136761 | 1489138 | 2013 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A genetic algorithm for solving fuzzy shortest path problems with mixed fuzzy arc lengths
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A genetic algorithm for solving fuzzy shortest path problems with mixed fuzzy arc lengths A genetic algorithm for solving fuzzy shortest path problems with mixed fuzzy arc lengths](/preview/png/1136761.png)
چکیده انگلیسی
We are concerned with the design of a model and an algorithm for computing the shortest path in a network having various types of fuzzy arc lengths. First, a new technique is devised for the addition of various fuzzy numbers in a path using αα-cuts by proposing a least squares model to obtain membership functions for the considered additions. Due to the complexity of the addition of various fuzzy numbers for larger problems, a genetic algorithm is presented for finding the shortest path in the network. For this, we apply a recently proposed distance function for comparison of fuzzy numbers. Examples are worked out to illustrate the applicability of the proposed approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mathematical and Computer Modelling - Volume 57, Issues 1–2, January 2013, Pages 84–99
Journal: Mathematical and Computer Modelling - Volume 57, Issues 1–2, January 2013, Pages 84–99
نویسندگان
Reza Hassanzadeh, Iraj Mahdavi, Nezam Mahdavi-Amiri, Ali Tajdin,