کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4629335 1340579 2012 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Simulated annealing based artificial bee colony algorithm for global numerical optimization
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Simulated annealing based artificial bee colony algorithm for global numerical optimization
چکیده انگلیسی

Artificial bee colony (ABC) algorithm is a global optimization algorithm, which has been shown to be competitive with some conventional swarm algorithm, such as genetic algorithm (GA) and particle swarm optimization (PSO). However, there is still an insufficiency in ABC algorithm, in that it has poor convergence rate in some situations. Inspired by simulated annealing algorithm, a simulated annealing based ABC algorithm (SAABC) is proposed. Simulated annealing algorithm is introduced into employed bees search process to improve the exploitation of the algorithm. The experimental results are tested on a set of numerical benchmark functions with different dimensions. That show that SAABC algorithm can outperform ABC and global best guided ABC algorithms in most of the experiments.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 219, Issue 8, 15 December 2012, Pages 3575–3589
نویسندگان
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