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chaos optimization algorithm
相关语句
  混沌优化
    In this article, the motor-driven elastic linkage systems are investigated and their dynamic characteristics are optimized and analyzed. The main works I've done are shown as follows. First, to optimize the dynamic responses of systems, the Particle Swarm Optimization combined with Chaos Optimization Algorithm
    首先,为优化系统的动态响应,本文将混沌优化算法与粒子群优化算法结合,发挥混沌优化随机性、遍历性、规律性以及对初值敏感的特性快速地对设计空间进行初步的探索,再利用粒子群算法简单、有效的特点在由前一步得到的最优解附近的邻域内进行更细致的搜索,提高了进化后期算法的收敛速度和全局寻优能力。
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  “chaos optimization algorithm”译为未确定词的双语例句
    By the use of the properties of ergodicity, inherent stochastic property and "regularity" of chaos, a chaos optimization algorithm is proposed combining with optimization Toolbox of Matlab5.3.1 programming language.
    利用混沌运动的遍历性、内在随机性、“规律性”等特点 ,结合 MATL AB5 .3.1高级程序设计语言的优化工具箱 ,提出了一种混沌约束优化算法。
短句来源
    By the use of the properties of ergodicity, inherent stochastic property and regularity of chaos, a chaos optimization algorithm is proposed with the help of the optimization Toolbox of Matlab5.3.1 programming language.
    利用混沌运动的遍历性、内在随机性、“规律性”等特点 ,结合MATLAB5 .3.1高级程序设计语言的优化工具箱 ,提出了一种混沌约束优化算法。
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  chaos optimization algorithm
This paper proposes a new search strategy using imitative scale chaos optimization algorithm (MSCO) for model selection of support vector machine (SVM).
      
Model selection for svm using imitative scale chaos optimization algorithm
      
The chaos optimization algorithm was used to help the gradient regularization method to escape from local optima in the hybrid algorithm.
      
Combining the chaos optimization algorithm with the gradient regularization method, a chaos-regularization hybrid algorithm was proposed to solve the established numerical model.
      


By the use of the properties of ergodicity, inherent stochastic property and "regularity" of chaos, a chaos optimization algorithm is proposed combining with optimization Toolbox of Matlab5.3.1 programming language. The program is compiled with Matlab5.3.1 programming language. The problem of function generation for planar StephensonⅢ six link mechanism is solved by chaos optimization method, and thus meaningful solutions for this problem with maximum precision positions are obtained...

By the use of the properties of ergodicity, inherent stochastic property and "regularity" of chaos, a chaos optimization algorithm is proposed combining with optimization Toolbox of Matlab5.3.1 programming language. The program is compiled with Matlab5.3.1 programming language. The problem of function generation for planar StephensonⅢ six link mechanism is solved by chaos optimization method, and thus meaningful solutions for this problem with maximum precision positions are obtained for the first time.

利用混沌运动的遍历性、内在随机性、“规律性”等特点 ,结合 MATL AB5 .3.1高级程序设计语言的优化工具箱 ,提出了一种混沌约束优化算法。运用该算法编写了 MATL AB程序 ,对平面 Stephenson 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

By the use of the properties of ergodicity, inherent stochastic property and regularity of chaos, a chaos optimization algorithm is proposed with the help of the optimization Toolbox of Matlab5.3.1 programming language. The programming is compiled with Matlab5.3.1. The problem of function generation for Planar four-link Mechanism is solved by chaos optimization method, and thus all solutions for this problem with maximum precision positions are obtained for first time.

利用混沌运动的遍历性、内在随机性、“规律性”等特点 ,结合MATLAB5 .3.1高级程序设计语言的优化工具箱 ,提出了一种混沌约束优化算法。运用该算法编写了MATLAB程序 ,对平面四杆机构的函数发生器综合问题进行了研究 ,从而找到了实现最大精确点时该问题的全部解 ,为实际机构的设计提供了多种选择方案。

In this paper,some methods are put forward,to use the information of the current solution and to change the search path to the optimal point,thus improving the converging velocity of the COA(chaos optimization algorithm) based on carrier wave two times.This can greatly increase the velocity and efficiency of carrier wave the first time to search for the optimal point at comparatively rough precision.The refined search can be performed during carrying wave the second time more quickly and accurately.Quite...

In this paper,some methods are put forward,to use the information of the current solution and to change the search path to the optimal point,thus improving the converging velocity of the COA(chaos optimization algorithm) based on carrier wave two times.This can greatly increase the velocity and efficiency of carrier wave the first time to search for the optimal point at comparatively rough precision.The refined search can be performed during carrying wave the second time more quickly and accurately.Quite a number of typical multiple-peak optimization computing examples indicate that the method in this paper is quite effective.Finally,this method is successfully applied to the mechanism optimization computation of a trunk cover board design.The outcome is better than that got by the Powell method,which means that the algorithm put forward in this paper has a good outlook in mechanism optimization design.

针对一般的二次载波的混沌优化方法收敛慢的弱点,提出了一些改进的方法.主要是利用当前解的信息,自动改变最优点的搜索路径,能明显提高首次载波寻找最佳点大概位置的速度和效能;同时能更快更精确实现二次载波的精细搜索.将该算法用于一机械设计问题———箱形盖板优化设计计算之中,取得了优于常规方法———Powell法的结果,说明该方法在机械优化设计中具有较好的应用价值.

 
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