کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
386482 660884 2010 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP
چکیده انگلیسی

Ant Colony Optimization (ACO) is a bioinspired metaheuristic based on ants foraging used to solve different classes of problems. In this paper, we show how, using a Two-Stage approach the quality of the solutions of ACO is improved. The Two-Stage approach can be applied to different ACO. The performance of this new approach is studied in the Traveling Salesman Problem and Quadratic Assignment Problem. The experimental results show that the obtained solutions are improved both problems using the Two-Stage approach. Several statistical procedures are applied to show the effect of this new approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 37, Issue 7, July 2010, Pages 5443–5453
نویسندگان
, , ,