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chaos-genetic optimization
相关语句
  混沌遗传算法
     Wavelet packet decomposition (WPD) was applied to feature extraction of ultrasonic signals, chaos-genetic optimization to eliminate redundant and irrelevant features and support vector machine to perform the identification task.
     该系统采用小波包分解提取超声信号的特征,采用混沌遗传算法来消除冗余和不相关的特征,并采用支持向量机(SVM)来对缺陷进行识别。 为了验证系统的有效性,在实验室内作了大量的超声检测实验。
短句来源
  混沌遗传优化
     Synthesis of Planar StephensonⅢ six-link Mechanism for Function Generation by Using Chaos-Genetic Optimization Method
     混沌遗传优化方法与平面StephensonⅢ型六杆机构的函数发生器综合
短句来源
     The algorithmic seftware of chaos-genetic optimization has been developed by MATLAB language.
     用MATLAB语言研制了混沌遗传优化算法软件;
短句来源
  “chaos-genetic optimization”译为未确定词的双语例句
     Support Vector Machine and Chaos-genetic Optimization Based Ultrasonic Flaw Identification
     基于支持向量机和特征选择的超声缺陷识别方法研究
短句来源
  相似匹配句对
     Chaos Genetic Algorithm and its Application in Function Optimization
     混沌遗传算法及其在函数优化中的应用
短句来源
     Genetic Algorithm in Chaos
     混沌遗传算法(英文)
短句来源
     Chaos in Genetic Algorithms
     混沌在遗传算法中的应用
短句来源
     A New Optimization Approach-Chaos Genetic Algorithm
     混沌遗传算法及其应用
短句来源
     A New Genetic Chaos Optimization Combination Method
     一种新的遗传混沌优化组合方法
短句来源
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At the first, the author systematically analyzed the existing states of the planar Stephenson III synthesis and features of various optimization methods. After the hybrid problem of genetic algorithm and the chaotic optimization algorithm were discussed in detail, a chaos genetic optimization algorithm was proposed by the use of the properties of ergodicity, inherent stochastic property,"regularity" of chaos and strongly sensitivity to initial value. The programming was compiled with Matlab6.1...

At the first, the author systematically analyzed the existing states of the planar Stephenson III synthesis and features of various optimization methods. After the hybrid problem of genetic algorithm and the chaotic optimization algorithm were discussed in detail, a chaos genetic optimization algorithm was proposed by the use of the properties of ergodicity, inherent stochastic property,"regularity" of chaos and strongly sensitivity to initial value. The programming was compiled with Matlab6.1 programming language. The problem of function generation for Planar StephensonⅢ six-link Mechanism was solved by this optimization method , and thus meaningful solutions for this problem with maximum precision positions were obtained for the first time.

分析了平面StephensonⅢ六杆机构综合的现状 ,综合各种优化方法后 ,对混沌算法和遗传算法的混合进行了分析。利用混沌运动的遍历性、内在随机性、“规律性”以及对初值的敏感性等特点 ,结合遗传优化算法 ,提出了混沌遗传算法。运用MATLAB6.1高级程序设计语言编制了计算程序 ,对平面StephensonⅢ型六杆机构的函数发生器综合 ,从而找到了实现最大精确点时该问题的一批有意义的解 ,为实际机构的设计提供了多种选择方案

Chaos-migration operator was put forward for the first time in order to solve the problem of premature convergence of genetic algorithm.Utilizing the ergodicity and inherent randomness of chaos-iteration and by means of chaos-migratory operation the inbreeding problem can be overcame in genetic algorithm and ensured an overall convergence of the algorithm.The algorithmic seftware of chaos-genetic optimization has been developed by MATLAB language.Numeric calculation shows that this algorithm has good...

Chaos-migration operator was put forward for the first time in order to solve the problem of premature convergence of genetic algorithm.Utilizing the ergodicity and inherent randomness of chaos-iteration and by means of chaos-migratory operation the inbreeding problem can be overcame in genetic algorithm and ensured an overall convergence of the algorithm.The algorithmic seftware of chaos-genetic optimization has been developed by MATLAB language.Numeric calculation shows that this algorithm has good global convergence and running robustness and is suitable for solving mechanical optimization designing problems with constraints and no constraints of continuous variables and possesses valuation in engineering application.

为了解决传统遗传算法的早熟问题,首次提出了混沌移民算子。利用混沌迭代的遍历性和内在随机性,通过混沌移民操作可克服传统遗传算法中的近亲繁殖问题,确保算法的全局收敛性。用MATLAB语言研制了混沌遗传优化算法软件;数值计算表明,该算法的全局收敛性好、算法稳健,适应于求解连续变量的无约束及有约束优化机械优化设计问题,具有工程实用价值。

One of the most important problems which must be resolved in maneuvering multiple targets tracking is the data association.The conventional association algorithm has either heavy computing burden or the results are not ideal. In this paper,chaos optimization and adaptive genetic algorithm are used to deal with the problem of multi-target data association separately. Based on the analysis of the limitation of chaos optimization and genetic algorithm, a new chaos genetic optimization combination...

One of the most important problems which must be resolved in maneuvering multiple targets tracking is the data association.The conventional association algorithm has either heavy computing burden or the results are not ideal. In this paper,chaos optimization and adaptive genetic algorithm are used to deal with the problem of multi-target data association separately. Based on the analysis of the limitation of chaos optimization and genetic algorithm, a new chaos genetic optimization combination algorithm is presented.The simulation shows that the combination algorithm can result in higher correct association percent and the effect of association is obviously superior to chaos optimization or genetic algorithm.

讨论了混沌优化方法和自适应遗传算法在多目标数据关联中的应用,针对这两种算法的不足,提出了一种集成混沌优化与遗传算法的混沌遗传算法。仿真结果表明,将本文提出的集成算法运用于数据关联,可以提高关联成功率,加速算法收敛速度。

 
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