The results of calculation and simulation indicate that application of the discrete method for problem of trajectory optimization can avoid the problem of initial value sensitivity.
仿真计算结果表明这种离散化的方法应用于此轨道优化问题可以避免传统轨道优化方法对初值敏感的问题。
Based on the initial value sensitivity of chaotic motion and the analysis of optimal searching process, a parallel adaptive chaotic optimization (PACO) method is proposed.
基于混沌运动的初值敏感性和对混沌优化搜索过程的分析，提出了并行自适应混沌优化方法。
Based on the features of initial value sensitivity, parameter sensitivity, ergodicity and random similarity, chaotic maps are now widely used in information encryption.
混沌映射因为初值敏感性、参数敏感性、遍历性和类随机性的特点，很适合用于信息加密。
The algorithm makes fully use of initial value sensitivity and track ergodicity of chaos, overcoming the disadvantage of big searching dead zone existed in conventional chaotic mutation model.
该算法充分利用混沌的初值敏感性和轨道遍历性，克服了已有混沌变异模型存在搜索盲区大的缺点。
The proposed scheme is exploiting the high sensitivity on initial value of chaotic map, can localize the tampers on the watermarked image.
利用混沌对初值极端敏感性的特点，能够定位检测对加入水印图像的窜改，并且水印提取不需要原始图像。
Chaos initial value sensitivity refers to small changes of initial value can lead to great changes of chaotic orbit.
初值敏感性是指混沌系统中初值的微小变化就会导致混沌轨道的很大变化。
Behavior of the chaos system may be not the foresight, and is the intrinsic randomness for the initial value sensitivity, which can be used to hide signal in the security communication.
混沌系统对初值的敏感性会使系统产生不可预见性和内在随机性，这一特性可以用来隐藏信号，进行混沌通信。
Inner randomness, Sensitivity to initial value and Chaos order are its intrinsic characteristics. It contains a kind of new educational philosophy.
它具有内禀随机性、初值敏感性和“混沌序”等三个本质特征，蕴涵着一种全新的教育哲学思想。
Inner randomness, Sensitivity to initial value and Chaos order are its intrinsic characteristics. It contains a kind of new educational philosophy.
它具有内禀随机性、初值敏感性和“混沌序”等三个本质特征，蕴涵着一种全新的教育哲学思想。
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