%0 Journal Article
%T PSO-BFGS Algorithm of Global Optimum for Optimization Problems<br>最优化问题全局寻优的PSO-BFGS混合算法
%A LU Ke-zhong
%A WANG Ru-chuan
%A ZHANG Jia-shun
%A <br>陆克中
%A 王汝传
%A 章家顺
%J 计算机应用研究
%D 2007
%I 
%X To overcome the problem of premature convergence on Particle Swarm Optimization(PSO) in optimizing multimodal function,this paper proposed a hybrid algorithm of PSO-BFGS,and used a special mutation to make particles escape local minima.Three benchmark functions were selected as the test functions.The experimental results show that the PSO-BFGS algorithm not only can effectively locate the global optimum,but also have a rather high convergence speed.The PSO-BFGS algorithm is a promising approach for solving global optimization problems.
%K global optimum
%K hybrid algorithm
%K particle Swarm optimization
%K BFGS method<br>全局优化
%K 混合算法
%K 粒子群优化算法
%K BFGS方法
%K 优化问题
%K 全局寻优
%K 混合算法
%K Problems
%K Optimization
%K Global
%K Optimum
%K 有效算法
%K 求解
%K 收敛速度
%K 收敛性能
%K 测试结果
%K 函数优化
%K Benchmark
%K 极值点
%K 局部
%K 能力
%K 变异
%K 增强
%K 搜索效率
%K 早熟收敛
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EF4AD2E7BFCF0B300729BDF54B41D87E&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=94C357A881DFC066&sid=BCA2697F357F2001&eid=2A8D03AD8076A2E3&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13