在寻优过程中，通过不断衰减混沌扰动幅度及混沌扰动的接受概率来实现混沌的模拟退火。
During the process of optimization, chaos simulated annealing was realized by decaying the amplitude of the chaos noise and the probability of accepting continuously.
混沌优化算法将混沌载波和模拟退火策略结合加快了寻优速度。
Chaos optimization algorithm, which combines chaos carrier wave with simulated annealing algorithm improves system optimization speed.
混沌是有着精致内在结构的一类现象。本文通过在对一种混沌算法进行讨论的基础上，提出一些改进措施，并利用常用寻优函数进行仿真验证。
Chaos is a phenomenon by inherent exquisite structure. Some improving schemes are brought out based on discussing the chaos algorithm, and are simulated by usual optimizing function.
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。
The proposed hybrid algorithm had the global search ability of chaotic search as well as local search ability of pattern search method.
基于混沌序列的多峰函数微粒群寻优算法的目标就是找到多峰函数的所有局部优化峰值。
It makes a searching for all local optimization of the multimodal function that a PSO algorithm based on chaos sequence for multi-modal function optimization.
变尺度混沌优化（MSCOA）是一种改进的混沌优化方法（COA），利用混沌运动的内在随机性、遍历性和规律性进行全局寻优；
Mutative scale chaos optimization algorithm (MSCOA) is a modified chaos optimization algorithm (COA), which possesses the properties of randomness, ergodicity and regularity of chaos movement.
该算法在起始阶段利用混沌优化算法寻找初始点，随后采用BFS法完成参数寻优过程。
At the initial stage, chaotic optimization algorithm is used to search a global initial point. Then, a BFS algorithm is adopted to complete the parameters-optimized process.
实验结果表明，与遗传算法相比，混沌遗传算法用于阈值寻优减少了运算时间，提高了收敛率。
Simulation results show that using CGA to find optimal threshold can save more operation time than GA and improve convergence probability.
实验结果表明，与遗传算法相比，混沌遗传算法用于阈值寻优减少了运算时间，提高了收敛率。
Simulation results show that using CGA to find optimal threshold can save more operation time than GA and improve convergence probability.
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