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。
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.
本文给出了一种新的全局优化问题的计算方法—混沌退火算法，并将其应用于非线性速度反演计算。
A new successive overall optimization calculation method-chaotic annealing will be used in the solution and non-linear velocity inversion calculation.
该方法具有逐次优化算法的隐性并行性和收敛性，禁忌搜索的智能性和变尺度混沌优化方法的快速性。
The algorithm has not only the implicit parallelism, global convergence of POA and the intelligence of tabu search, but also the fast convergence of MSCOA.
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。
A new hybrid algorithm which combines the chaos optimization method and the nonlinear conjugate gradient method approach having an effective convergence property is proposed.
遗传算法和混沌遗传算法的收敛速度比经典的线性优化方法慢很多，但改进后其速度还是可以接受的，且混沌遗传算法的收敛速度比同等条件下的遗传算法速度快得多。
Both the convergence speeds of CGA and GA are much slower than the classic linear methods, but their speeds after improved are acceptable, and the convergence speed of CGA is faster than that of GA.
基于混沌优化算法给出了求解最优超订水平的方法。
The solving method for the optimal solution of the overbooking model is given based on chaos optimization algorithm.
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。
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.
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。
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.
提出了一种基于混沌蚁群算法优化二维模糊划分最大熵的红外图像分割方法。
An approach for infrared image segmentation based on fuzzy partition maximum entropy of two-dimensional histogram optimized by Chaos ant colony algorithm is proposed.
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。
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.
本发明公开了属于热工过程控制领域的基于混沌混合优化算法的单元机组非线性预测控制方法。
The invention discloses a nonlinear predictive control method of a unit plant based on a chaos and hybrid optimization algorithm, belonging to the control field of thermal process.
通过对地震记录子波估计的理论模型试验，结果表明这种混沌的优化算法比单一的随机优化方法具有很好的实际效果和应用前景。
The model test results of seismic wavelet estimation show that the method is more efficient than that only use stochastic optimization algorithm.
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。
Data envelopment analysis (DEA) and its non-linear model are introduced, and chaos optimization algorithm is used to find the non-linear model.
鉴于拟变分不等式求解比较困难，设计了基于混沌优化方法的启发式求解算法。
Since it is difficult to solve quasi-variation inequality, the paper designs a heuristic solution algorithm based on cha…
鉴于拟变分不等式求解比较困难，设计了基于混沌优化方法的启发式求解算法。
Since it is difficult to solve quasi-variation inequality, the paper designs a heuristic solution algorithm based on chaos met...
算例结果表明，混沌优化方法比常规的数值算法和遗传算法更为优越。
Calculation results showed that chaotic optimization method was superior to conventional methods and genetic arithmetics.
算例结果表明，混沌优化方法比常规的数值算法和遗传算法更为优越。
Calculation results showed that chaotic optimization method was superior to conventional methods and genetic arithmetics.
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