کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
477789 | 1446197 | 2007 | 33 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP](/preview/png/477789.png)
چکیده انگلیسی
The difficulty to solve multiple objective combinatorial optimization problems with traditional techniques has urged researchers to look for alternative, better performing approaches for them. Recently, several algorithms have been proposed which are based on the ant colony optimization metaheuristic. In this contribution, the existing algorithms of this kind are reviewed and a proposal of a taxonomy for them is presented. In addition, an empirical analysis is developed by analyzing their performance on several instances of the bi-criteria traveling salesman problem in comparison with two well-known multi-objective genetic algorithms.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Operational Research - Volume 180, Issue 1, 1 July 2007, Pages 116–148
Journal: European Journal of Operational Research - Volume 180, Issue 1, 1 July 2007, Pages 116–148
نویسندگان
C. García-Martínez, O. Cordón, F. Herrera,