کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
427884 686571 2011 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improved artificial bee colony algorithm for global optimization
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
Improved artificial bee colony algorithm for global optimization
چکیده انگلیسی

The artificial bee colony algorithm is a relatively new optimization technique. This paper presents an improved artificial bee colony (IABC) algorithm for global optimization. Inspired by differential evolution (DE) and introducing a parameter M, we propose two improved solution search equations, namely “ABC/best/1” and “ABC/rand/1”. Then, in order to take advantage of them and avoid the shortages of them, we use a selective probability p to control the frequency of introducing “ABC/rand/1” and “ABC/best/1” and get a new search mechanism. In addition, to enhance the global convergence speed, when producing the initial population, both the chaotic systems and the opposition-based learning method are employed. Experiments are conducted on a suite of unimodal/multimodal benchmark functions. The results demonstrate the good performance of the IABC algorithm in solving complex numerical optimization problems when compared with thirteen recent algorithms.


► “ABC/best/1” and “ABC/rand/1” are proposed.
► A new search mechanism is got by introducing a selective probability p.
► Both opposition-based learning method and chaotic maps are employed.
► The experiment results demonstrate the good performance of the IABC algorithm.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Processing Letters - Volume 111, Issue 17, 15 September 2011, Pages 871–882
نویسندگان
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