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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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；
It makes a searching for all local optimization of the multimodal function that a PSO algorithm based on chaos sequence for multi-modal function optimization.
基于混沌序列的多峰函数微粒群寻优算法的目标就是找到多峰函数的所有局部优化峰值。
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。
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。
To solve the problems of the multi-variables and multi-constraints in crane main girder optimization design, the paper proposes a new particle swarm optimization algorithm based on chaos series.
为了解决起重机箱形主梁优化设计中的多变量、多约束问题，提出了一种新的基于混沌序列的粒子群优化算法。
The decreasing gradient algorithm and chaos algorithm both have shortcomings for optimization problems.
梯度下降法与混沌优化法均具有各自的缺点。
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.
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。
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。
To solve hydrothermal power system resource short-term optimization scheduling problem, this paper proposed a novel scheduling solution based on chaos particle swarm optimization algorithm.
为了有效地解决水火电力系统资源短期优化调度问题，提出了一种基于混沌粒子群算法的调度方案。
Finally, the chaos ant colony optimization (CACO) algorithm is designed and used in reactive power optimization system.
本文研究设计了混沌蚁群优化算法(CACO)，并将该算法应用在无功优化系统中。
The chaos search based hybrid particle swarm optimization (PSO) algorithm is proposed in the paper to avoid the premature phenomenon of PSO, which is applied into the reactive power optimization.
应用粒子群优化算法(PSO)求解电力系统无功优化问题，提出基于混沌搜索的混合粒子群优化算法，以克服P SO容易早熟而陷入局部最优解的缺点。
The chaos search based hybrid particle swarm optimization (PSO) algorithm is proposed in the paper to avoid the premature phenomenon of PSO, which is applied into the reactive power optimization.
应用粒子群优化算法(PSO)求解电力系统无功优化问题，提出基于混沌搜索的混合粒子群优化算法，以克服P SO容易早熟而陷入局部最优解的缺点。
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