摘要：Artificial bee colony (ABC) algorithm is
one of the popular swarm intelligence algorithms. ABC has been developed by
being inspired foraging and waggle dance behaviors of real bee colonies in
2005. Since its invention in 2005, many ABC models have been proposed in order
to solve different optimization problems. In all the models proposed, there
are only one scout bee and a constant limit value used as control parameters
for the bee population. In this study, the performance of ABC algorithm on the
numeric optimization problems was analyzed by using different number of scout
bees and limit values. Experimental results show that the results obtained by
using more than one scout bee and different limit values, are better than the
results of basic ABC. Therefore, the control parameters of the basic ABC should
be tuned according to given class of optimization problems. In this paper, we
propose reasonable value ranges of control parameters for the basic ABC in
order to obtain better results on the numeric optimization problems.
关键词：Artificial Bee Colony; Effects of the Parameters Parameter Tuning; Number of Scout Bee; Limit Value
