查询词典 optimization problem

Under Z-condition and strict pseudomonotonicity assumptions, we establish the equivalences among the equilibrium problem, the least element problem of the feasible set, and a related optimization problem.

在Z-条件及严格单调性假设下，我们得到：均衡问题、均衡问题可行集的最小元问题以及一个相关的优化问题等价。

To overcome the shortcomings of existing algorithms, the distributed parallel reactive power optimization algorithm based on sub-area division of the power systems is proposed according to the distributed and decentralized characteristics of the power system. Here, multi-objective function and soft constraints are modeled using fuzzy sets, and the multi-objective reactive power optimization problem is solved by the direct nonlinear primal-dual interior point algorithm.

针对目前无功电压优化算法存在的不足，根据电力系统分布、分散的特点，提出了基于电网分区的分布式并行无功优化算法，并对其进行了多目标、软约束的模糊化处理和离散控制变量的罚函数处理，利用直接非线性原—对偶内点法寻优求解。

Gene Algorithm is an intelligent optimization algorithm, which solves complex combination and optimization problem by simulating the process of natural anagenesis and using simple code and gene operation.

遗传算法是一种新的智能优化算法，通过模拟自然进化过程，利用简单的编码技术和遗传操作高效地解决复杂的组合优化问题。

P-wave AVO inversion is a complicated constrained nonlinear optimization problem, which is better achieved using global optimization methods.

AVO反演是一个非线性优化问题，因此采用非线性的反演方法，其解空间的性质、状态应优于线性反演方法。

First, the formal representation of the search environment is established, the multi-UAV is modeled as a controlled system and the predictive model of the system is presented. Considering the uncertainty of the sensor measurement and the environment, a Search Probability Map is defined and the updating method based on Bayes formula is presented. Based on SPM, information gain is defined to measure the search effects and used to be the optimization object in the predictive horizon. By using of GA, the solution of the optimization problem is got and it is taken as the input of the controlled system.

首先，建立搜索环境的规则描述，然后将多个UAV建模为一个控制系统，建立系统的预测模型，考虑到UAV传感器测量的不确定性和环境自身的不确定性，建立搜索概率图描述搜索环境的不确定性，给出了基于Bayes准则的搜索概率图更新方法，继而基于搜索概率图定义信息增益来衡量搜索效果，并将预测周期内的优化目标定为最大化信息增益，采用遗传算法进行求解，得到最优解作为被控系统的输入。

Under the circumstances, this dissertation chooses the key problem in urban traffic signal control-signal timing parameters and optimization methods as its research target. This dissertation is consisted of introduction, run characteristic analyze of mixed traffic flow, collection of database, canalization design, design of signal phase, optimization methods of signal timing parameters of mixed traffic, and conclusion and expectation.

在这种背景下，本论文选择城市交通控制系统的核心问题——信号配时参数及其优化方法作为主要研究内容，包括绪论、混合交通流运行特性分析、数据采集与分析、渠化设计及信号相位设计、混合交通流信号配时优化方法研究和全文总结与展望六部分内容。

And describes the mothod how to use matlab optimization tool box to solve parameter optimization problem of circle vibrating screen.

然后描述了如何利用MATLAB优化工具箱解决圆振动筛的参数优化问题的具体方法。

According to the analysis of the characteristics of concurrent tolerance optimization design, it could be regarded as the hybrid variable combinational optimization problem.

通过对并行公差优化设计的分析，将其视为一种混合变量组合优化问题。

Ant Colony Optimization algorithm is a new heuristic algorithm to the combinatorial optimization problem.

蚁群算法是一种新兴的启发式算法。

The Hopfield neural network optimization algorithm is a new and potential approach for combinatorial optimization problem.

用反馈神经网络优化算法求解组合优化问题是一条崭新的、具有很大潜力的途径。

Now he worked in ajoint venture.

现在他在一家合资企业工作。

More troops in Afghanistan won't change any of the foregoing.

更多的在阿富汗的军队也不会改变之前的状况。