دانلود مقاله ISI انگلیسی شماره 46253
ترجمه فارسی عنوان مقاله

الگوریتم کلونی زنبور عسل مصنوعی مداوم برای بهینه سازی دودویی

عنوان انگلیسی
The continuous artificial bee colony algorithm for binary optimization
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
46253 2015 9 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Applied Soft Computing, Volume 33, August 2015, Pages 15–23

ترجمه کلمات کلیدی
کلنی زنبور عسل مصنوعی - بهینه سازی دودویی - تبدیل مقادیر مستمر -
کلمات کلیدی انگلیسی
Artificial bee colony; Binary optimization; Conversion of continuous values; Uncapacitated facility location problem
پیش نمایش مقاله
پیش نمایش مقاله  الگوریتم کلونی زنبور عسل مصنوعی مداوم برای بهینه سازی دودویی

چکیده انگلیسی

Artificial bee colony (ABC) algorithm, one of the swarm intelligence algorithms, has been proposed for continuous optimization, inspired intelligent behaviors of real honey bee colony. For the optimization problems having binary structured solution space, the basic ABC algorithm should be modified because its basic version is proposed for solving continuous optimization problems. In this study, an adapted version of ABC, ABCbin for short, is proposed for binary optimization. In the proposed model for solving binary optimization problems, despite the fact that artificial agents in the algorithm works on the continuous solution space, the food source position obtained by the artificial agents is converted to binary values, before the objective function specific for the problem is evaluated. The accuracy and performance of the proposed approach have been examined on well-known 15 benchmark instances of uncapacitated facility location problem, and the results obtained by ABCbin are compared with the results of continuous particle swarm optimization (CPSO), binary particle swarm optimization (BPSO), improved binary particle swarm optimization (IBPSO), binary artificial bee colony algorithm (binABC) and discrete artificial bee colony algorithm (DisABC). The performance of ABCbin is also analyzed under the change of control parameter values. The experimental results and comparisons show that proposed ABCbin is an alternative and simple binary optimization tool in terms of solution quality and robustness.