摘要
把共轭梯度法与混沌优化方法相结合，提出了一种混合优化算法．该算法能使共轭梯度法跳出局部最优，最终获得全局最优．算法的收敛性也进行了证明，仿真表明算法是有效的．
In this paper, a new hybrid algorithm which combines the chaos optimization method and the conjugate gradient approach having an effective convergence property, is proposed. The hybrid algorithm can help the conjugate gradient approach to skip the local minimum. At the end, it can find the global minimum. The convergence of the algorithm is proved. The simulation shows that the hybrid algorithm is effective.
出处
《信息与控制》
CSCD
北大核心
1998年第3期232-235,共4页
Information and Control
关键词
混沌优化
共轭梯度法
全局最优解
算法
Chaos optimization algorithm, conjugate gradient algorithm, global minimum
