利用混沌搜索全局最优的一种混合算法
A HYBRID ALGORITHM FOR FINDING GLOBAL MINIMUM
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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.Abstract: 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.