梯度下降法与混沌优化法均具有各自的缺点。
The decreasing gradient algorithm and chaos algorithm both have shortcomings for optimization problems.
最后利用混沌优化算法对热工模型进行辨识。
Utilize Chaos optimize algorithms to identify the heat power engineering system model finally.
基于混沌变量，提出一种变尺度混沌优化方法。
A mutative scale chaos optimization method is proposed based on the chaos variables.
混沌优化是当前混沌学研究领域的一个重要课题。
Chaotic optimization is one of important fields in scientific chaos research.
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.
提出了一种基于混沌优化的PID控制器参数整定方法。
A method is proposed for parameters tuning of normalized PID controller with chaos variables.
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。
The optimization design method is proposed for feed-forward neural network structure by means of chaos ergodicity and randomicity.
此外，本文设计了一个基于灵敏度分析和混沌优化的求解算法。
We also design a algorithm based on sensitivity analysis and chaos optimal in this paper.
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。
A new, feasible chaos optimization algorithm is presented to nonlinear constrained programming problem.
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.
同时对改进的混沌优化算法和混合优化算法的收敛性进行了证明。
In the mean time, the convergence of the improved chaotic optimization algorithm and hybrid optimization algorithm are proved.
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。
Finally, the optimal thresholds of image segmentation based on fuzzy mutual information is obtained by means of chaos optimization method.
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。
In this paper, the optimization design for feed-forward neural network is proposed based on chaos optimization.
第三部分对基于混沌优化算法的模糊优选神经网络预测模型进行研究。
In the third part, the prediction model of fuzzy optimal selection neural network based on chaotic optimization algorithm is studied.
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...
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…
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。
Combining relaxation velocity update frequency and chaos optimization, a chaos particle swarm optimization was proposed based on relaxation velocity update frequency (CRVUPSO).
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.
在建立混联水电站群长期优化调度模型的基础上，应用混沌优化算法对模型进行求解。
The chaos optimal algorithm is applied to solve the optimal dispatch model for large scaled complicatedly connected hydropower station groups.
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.
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。
This paper incorporates chaos optimization algorithm into the PSO algorithm, and propose a new particle swarm optimization algorithm based on chaos searching (CPSO).
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。
A hybrid algorithm for topology optimization of trusses with discrete variables is developed which combines relative difference quotient algorithm with chaos optimization.
研究了混沌优化方法中混沌变量的初值设定和载波过程中放大倍数等参数调整的实用方法。
How to initialize chaotic variables and determine parameters such as enlanger multiple of carrier_wave in the chaotic optimization method.
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.
基于混沌运动的初值敏感性和对混沌优化搜索过程的分析，提出了并行自适应混沌优化方法。
Based on the initial value sensitivity of chaotic motion and the analysis of optimal searching process, a parallel adaptive chaotic optimization (PACO) method is proposed.
本论文以混沌优化、支持向量机二种计算智能方法为主，以此研究非线性系统的建模与控制。
This paper focuses on two kinds of computational intelligence, that is, COA and SVM, for modelling and controller design of nonlinear systems.
本论文以混沌优化、支持向量机二种计算智能方法为主，以此研究非线性系统的建模与控制。
This paper focuses on two kinds of computational intelligence, that is, COA and SVM, for modelling and controller design of nonlinear systems.
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