This paper presents an integrated mixed-integer/nonlinear dynamic reactive-power optimization model and algorithm for power distribution network.
提出了一种完整的配电网络非线性混合整数动态无功优化模型及数学优化算法。
Experimental results show that the optimization model, criteria and algorithm are very effective.
实验数据表明，其优化模型、准则和算法是十分有效的。
For satellite data transmission scheduling problem (SDTSP) restrained with time Windows and resources, ant colony optimization algorithm based on solution construction graph model is proposed.
针对具有时间窗口和数传资源限制卫星数传调度问题，提出了基于解构造图模型的蚁群优化算法。
To get the optimum solution for the planning, I construct a model of resource optimization for spliced network planning, and design Adaptive Ant Colony Algorithm to solve it.
为得到最优计划方案，针对搭接网络计划，建立了资源均衡优化的数学模型，并设计了自适应蚁群系统的求解算法与实现过程。
This paper introduces a nonlinear method used for magnetic localization, this method is based on magnetic dipoles model and nonlinear optimization algorithm.
本文介绍了一种用于磁定位的非线性方法，该方法基于磁偶极子的磁场分布模型和非线性最优化算法。
Therefore, the mathematic model for optimization disinfection was set up, and the hybrid genetic-simulated annealing algorithm was used for solution.
为此，建立了优化消毒数学模型，并采用遗传—模拟退火混合算法对其进行求解。
This model includes a historical database, a procedure of searching for the nearest neighbor subset and its optimization algorithm and the technique of predict and estimation.
该模型包括历史样本数据库、近邻子集搜索程序、近邻子集优化算法和预报量估计技术。
First, the the ory of continuous dependence of the optimal trajectory on the parameters and the theory of convergence about optimization algorithm model are introduced.
首先介绍最优轨道对参数的连续依赖性和优化算法的算法模型的收敛性理论。
This paper proposes a new mathematical model and an algorithm for multi-objective optimization of the overall parameters of the most widespread powered support -shield.
本文提出了支撑掩护式液压支架总体参数多目标优化设计的一个新的数学模型和算法。
A mathematical model of the whole network traffic optimization was established, and HDCA algorithm was designed in terms of the mathematical model's hierarchies.
给出全网流量优化的数学模型，并根据该模型内在的层次性，设计了分布式自适应流量工程算法。
Considering the communication cost and optimization qualities, an ant colony algorithm based on the coarse-grain model is designed to solve the problem of this model.
为求解该模型，并综合考虑优化质量和通信开销，采用了基于粗粒度模型的并行蚁群算法。
This paper analyzed the two-speed universal winch's transfer system, then established optimization model, and posed a practical optimization algorithm.
分析研究了双速多用绞车传动系统，建立了优化模型，并提出了一套切实可行的优化算法。
In order to improve the efficiency of evolutionary algorithm and reduce the optimization time, a multi-objective model management framework was proposed.
为了提高演化算法的效率，减少优化时间，提出一种多目标模型管理框架。
Compared with the past results when a power function is used as the polish function, it indicates that our optimization model is more rational and the corresponding algorithm is more efficient.
与以往的结果相比时，幂函数作为波兰的功能，它表明我们的是更合理的优化模型和相应的算法是更有效的。
Considering that the particle swarm optimization (PSO) algorithm is quite simple and easy to implement, it was used to estimate the nonlinear model parameters in this paper.
粒子群算法操作简便、容易实现且全局搜索功能较强，适用于非线性参数估计。
In order to optimize tolerance values for an assembly system, a model for geometric dimension tolerance optimization was established and an algorithm for optimal tolerance design was proposed.
为优化装配系统中公差链的公差值，建立了几何尺寸公差的优化模型，并提出公差的分层优化设计算法：第一层，解决设计公称值居中的优化问题；
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。
On the algorithm solving model, this paper introduces ACO algorithm, and makes a comparison between the ACO algorithm and other optimization algorithm, then points out its advantages.
对于其模型的求解算法，文章引入了蚁群算法，并将蚁群算法与其它优化算法做了比较，说明其优点所在。
In the researches of generating paper algorithm, a mathematic model is firstly founded, and then particle swarm optimization (PSO) algorithm is applied to paper's generating.
组卷算法研究方面，首先为组卷行为建立一个数学模型，并提出应用粒子群优化(PSO)算法组卷。
This paper discusses a model algorithm for composite nonsmooth optimization problems and proves that the algorithm holds global convergence and in the meantime the convergent rate is superlinear.
提出复合非光滑优化问题的一类算法，并证明这种算法保持全局收敛性且敛速达到超线性。
This paper discusses a model algorithm for composite nonsmooth optimization problems and proves that the algorithm holds global convergence and in the meantime the convergent rate is superlinear.
提出复合非光滑优化问题的一类算法，并证明这种算法保持全局收敛性且敛速达到超线性。
应用推荐