کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4629182 1340575 2013 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Ant colony optimization for continuous functions by using novel pheromone updating
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Ant colony optimization for continuous functions by using novel pheromone updating
چکیده انگلیسی

This paper presents an ant colony optimization (ACO) algorithm for continuous functions based on novel pheromone updating. At the end of the each iteration in the proposed algorithm, pheromone is updated according to percentiles which determine the number of ants to track the best candidate solution. It is performed by means of solution archive and information provided by previous solutions. Performance of the proposed algorithm is tested on ten benchmark problems found in the literature and compared with performances of previous methods. The results show that ACO which is based on novel pheromone updating scheme (ACO-NPU) handles different types of continuous functions very well and can be a robust alternative approach to other stochastic search algorithms.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 219, Issue 9, 1 January 2013, Pages 4163–4175
نویسندگان
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