For parameter estimation of nonlinear system,this paper proposed a hybrid optimization algorithm integrating parallel chaotic search algorithm(PCS)with pattern search method(PS).
提出了一种并行混沌搜索结合模式搜索法的混合优化算法,并应用于非线性系统参数估计。
参考来源 - 基于并行混沌搜索的非线性系统参数估计Based on simulation and compared with the chaotic search optimization algorithms, a new chaotic linear optimization algorithm was produced.
对现有的基于混沌搜索的优化方法进行比较仿真研究，并提出了改进。
参考来源 - 混沌理论及其在信息安全和优化中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The algorithm maps test vector space to the chaotic space and USES chaotic search to find out the suitable testing pairs.
该算法将测试向量空间映射到混沌空间并采用混沌搜索来寻找一对符合要求的测试向量对。
A coupled optimization algorithm combined gradient search with chaotic search is proposed and its (convergence) is discussed.
提出一种混沌梯度组合全局优化算法，并对该算法进行了收敛性分析。
The proposed hybrid algorithm had the global search ability of chaotic search as well as local search ability of pattern search method.
该优化算法具有混沌优化的全局搜索能力，而模式搜索法则加快了局部寻优性能。
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