%0 Journal Article
%T Deep accelerating artificial bee colony algorithm<br>深层加速搜索的蜂群算法
%A LU Ying-yu
%A WANG Bing
%A LI Xue-wen
%A QIN Yong
%A <br>卢滢宇
%A 王　冰
%A 李学文
%A 秦　勇
%J 计算机应用研究
%D 2012
%I 
%X Artificial bee colonyABC algorithm is a new biological simulating intelligence optimization algorithm. Conside-ring the shortcomings of the artificial bee colony algorithm, this paper proposed an improved algorithm based on opposition searching. In the improved algorithm, the bee chose to remain the better solution by comparing the value of the objective function instead of its fitness value. Besides, the bees would do opposition-based searching randomly to find better solutions. The dimension of neighbor searching may be more than one. Experimental simulation results on 5 standard test functions show that the improved algorithm can accelerate the convergence rate and improve its accuracy, its performance is significantly better than the basic ABC algorithm.
%K ABC algorithm
%K opposition-based searching
%K neighbor searching
%K convergence speed<br>蜂群算法
%K 反向搜索
%K 邻域搜索
%K 收敛速度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=8D8174D12B4331BF74DC7FB2D0152ED0&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=59906B3B2830C2C5&sid=462AB175E297D285&eid=BC99DC0BA5D86EE5&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=14