%0 Journal Article
%T Bacterial foraging algorithm based on gradient particle swarm optimization algorithm<br>基于梯度粒子群算法的细菌觅食算法
%A MAI Xiong-f
%A LI Ling
%A <br>麦雄发
%A 李　玲
%J 计算机应用研究
%D 2012
%I 
%X To overcome the drawbacks of bacterial foraging algorithm for the optimization process, that the weak ability to perceive the environment and vulnerable to perception of local extreme. This article will merge the idea of GPSO algorithm into the bacterial foraging to improve the speed and convergence capabilities of BFA and according, this paper presented a bacterial foraging algorithm based on gradient particle swarm optimization GPSO-BFA. The presented hybrid method incorporates the advantages of the excellent global searching of the BFA and the local speedy convergence of the gradient method. Simulation results on six benchmark functions show that the proposed algorithm is superior to the other 4 kinds of bacterial foraging algorithm.
%K bacterial foraging algorithm（BFA）
%K gradient particle swarm optimization algorithm（GPSO）
%K hybrid optimization algorithm<br>细菌觅食算法
%K 梯度粒子群优化
%K 混合优化算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=AB5C24B90CF8948F1DDECB50CD82516B&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=54353D11BB9C1A6C&eid=7AA82AA367022C44&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11