• A mutative scale chaos optimization method is proposed based on the chaos variables.

    基于混沌变量,提出一种变尺度混沌优化方法。

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  • A new, feasible chaos optimization algorithm is presented to nonlinear constrained programming problem.

    针对非线性约束问题,提出了一种新的、可行的混沌优化算法。

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  • In this paper, the optimization design for feed-forward neural network is proposed based on chaos optimization.

    采用混沌优化策略,提出一种前馈神经网络权参数的最优学习方案。

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  • Finally, it was summarized regarding the shortcomings of chaos optimization algorithm and proposed further studies.

    最后,对于混沌优化算法进行了总结,提出其不足之处和有待进一步研究的方向。

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  • The solving method for the optimal solution of the overbooking model is given based on chaos optimization algorithm.

    基于混沌优化算法给出了求解最优超订水平的方法。

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  • Chaos optimization algorithm, which combines chaos carrier wave with simulated annealing algorithm improves system optimization speed.

    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。

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  • Finally, the optimal thresholds of image segmentation based on fuzzy mutual information is obtained by means of chaos optimization method.

    最后采用混沌优化法来获得多阈值模糊互信息分割方法的最佳阈值。

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  • Data envelopment analysis (DEA) and its non-linear model are introduced, and chaos optimization algorithm is used to find the non-linear model.

    介绍了数据包络分析方法及其非线性模型,并提出了混沌优化求解算法。

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  • The computer control system scheme of Aluminum electrolytic cell based on CAN bus and Fuzzy controller based on chaos optimization are designed.

    设计了基于CAN总线的预焙铝电解槽计算机控制系统的总体方案及基于混沌优化的电解质温度模糊控制器。

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  • Given the stochastic and ergodic characteristics of fuzzy variables, a chaos optimization algorithm is introduced to solve the planning problem.

    结合混沌变量的随机遍历特性,将混沌优化算法应用于输电网非线性混合整数规划模型的优化求解。

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  • Chaos optimization is used to search all local optimal points of the entropy function in once searching, which can improve the efficiency of searching threshold.

    并利用混沌优化的方法一次寻找出图像熵的多个极值点,提高了阈值寻找的效率。

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  • This paper incorporates chaos optimization algorithm into the PSO algorithm, and propose a new particle swarm optimization algorithm based on chaos searching (CPSO).

    文章把混沌优化搜索技术引入到P SO算法中,提出了基于混沌搜索的粒子群优化算法。

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  • The mathematic model of this VRP is analyzed, and a chaos optimization algorithm is proposed, then the coding method and compute operators are introduced in this paper.

    本文分析了该类VRP问题的数学模型,提出了一种针对该问题的混沌优化算法,介绍了具体的编码方法和实现算子。

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  • A hybrid algorithm for topology optimization of trusses with discrete variables is developed which combines relative difference quotient algorithm with chaos optimization.

    将相对差商法和混沌优化结合起来,形成求解离散变量桁架结构拓扑优化设计的混合算法。

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  • Combining the BFGS method with the chaos optimization method, a hybrid approach is proposed to solve nonlinear optimization problems with boundary restraints of variables.

    把BFGS方法与混沌优化方法相结合,基于混沌变量提出一种求解具有变量边界约束非线性最优化问题的混合优化方法。

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  • A new hybrid algorithm which combines the chaos optimization method and the nonlinear conjugate gradient method approach having an effective convergence property is proposed.

    利用优化问题的非线性共轭梯度法与混沌优化方法相结合,提出了一种新的混合优化算法。

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  • Chaos optimization algorithm is a global search method of selecting SVMs parameters, simulations show that the proposed method is an effective approach for parameter selection.

    混沌优化算法是一种全局搜索方法,将混沌优化算法应用于支持向量机参数选取问题中,仿真表明该方法的有效性。

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  • Combining relaxation velocity update frequency and chaos optimization, a chaos particle swarm optimization was proposed based on relaxation velocity update frequency (CRVUPSO).

    把速度更新策略和混沌优化相结合,提出了减少速度更新频率的混沌粒子群算法。

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  • In order to improve the control performance and avoid a great deal of adjusting work of the parameters, we applied chaos optimization method in design of fuzzy controller firstly.

    为了避免模糊控制器设计过程中参数的大量调试工作,并使其具有最佳的控制性能,本文首次将混沌优化方法应用于模糊控制器参数设计。

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  • Numerical examples illustrate that the present method possesses both good capability to search global optima and far higher convergence speed than that of chaos optimization method.

    算例表明,当混沌搜索的次数达到一定数量时,混合优化方法可以保证算法收敛到全局最优解,且计算效率比混沌优化方法有很大提高。

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  • The algorithm used natural number coding method with dynamically adjustment for the probability coefficients of crossover and mutation, and used chaos optimization method as the mut.

    对于模型的求解方法,构造了一种自适应的混沌遗传算法,采用自然数编码方式,动态的在线调整算法的交叉和变异概率,并采用混沌优化方法作为变异算子。

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  • Result shows that chaos optimization algorithm is consistent with linear programming; and also proves that it is feasible to solve DEA non-linear model with chaos optimization algorithm.

    实例表明:用混沌优化算法对城市供水绩效的DEA评价模型的优化结果与前人采用线性求解结果一致,证明了混沌算法求解DEA模型的可行性。

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  • 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.

    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;

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  • The optimization design method is proposed for feed-forward neural network structure by means of chaos ergodicity and randomicity.

    提出一种关于多层前向神经网络结构的混沌优化设计方法。

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  • Use Chaos and fractal analysis routines, LCMV optimization design array signal processing, Multivariate least squares fitting method of nonlinear equations.

    使用混沌与分形分析的例程,LCMV优化设计阵列处理信号,利用最小二乘法进行拟合多元非线性方程。

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  • Use Chaos and fractal analysis routines, LCMV optimization design array signal processing, Multivariate least squares fitting method of nonlinear equations.

    使用混沌与分形分析的例程,LCMV优化设计阵列处理信号,利用最小二乘法进行拟合多元非线性方程。

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