查询词典 optimization problem

About a final problem,we have built a optimization model, respectively to four index of question one: Sickbed sigmatism , the sickbed turnover number, time average before the patient is in hospital, be hospitalized for gradually carrying out constraint, the sickbed reaching each diseases thereby assigns a number.

关于最后一个问题，我们建立了一个优化模型，分别对问题一的四个指标：病床的使用率，病床的周转数，病人住院前的时间，平均住院日进行约束，从而得出各个疾病的病床分配数目。

A class of multilevel star network is abstracted from objective existent network system, and the location-allocation optimization design problem is studied.

从客观存在的网络系统中抽象出一类多级星式网络系统，研究其布局－分配优化设计问题。

I present cluster schema for combinatorial problem with clustering, design a new crossover operator cluster crossover, study the survival probability of c-schema under c-crossover, apply it successfully to graph coloring, load balancing and maximum spanning tree problems: give measurements of diversity in GA, set up varying crossover probability algorithms to maintain diversity, obtain good results when apply it in avoiding premature convergence and multi-modal functions optimization; establish GAC to be suitable for non stationary function, it can explore the change of environment and find the best solution even for some"anomalous"function.

针对聚类组合优化问题提出了聚类模式，设计了一种新的交换操作：聚类交换并研究了聚类模式在聚类交换操作下的生存可能性，成功的将聚类交换思想和算子应用于图着色、负载平衡和最大生成树问题，佐证了类理论，表明类理论可以指导新的应用算法设计；给出了GA中多样性的度量标准和维护多样性的动态交换概率算法，用于避免过早收敛和多峰函数优化，取得了较好的结果；构造了维持种群多样性以适应动态环境的方法GAC，在某些现有方法无能为力的问题上，GAC能够探测到环境变化，找到当前最优解。

The approach for gross error detection based on neural network is introduced. Compared with conventional approaches which are based on optimization technique and statistical methods, This method has the advantages of simpleness, fitting online use and dealing with nonlinear problem effectively.

初步研究了基于神经网络的显著误差侦破方法，该方法具有简单、计算量小和适于在线应用的优点，并且相对于传统的最优化和统计理论相结合的方法具有处理非线性问题能力较强的特点。

Based on the statistical learning theory and optimization theory, SVMs have been successfully applied to many fields such as pattern recognition, regression and etc.Training an SVM amounts to solving a convex quadratic programming problem.

它将机器学习问题转化为求解最优化问题，并应用最优化理论构造算法来解决问题，本文主要是从最优化理论和算法的角度对支持向量机中的最优化问题进行研究。

By combining the one dimensional search procedure in the determinate nonlinear programming problem with the stochastic approximation procedure, a new yield optimization algorithm is proposed and the rate of convergence is increased.

将确定性非线性规化问题求解的一维搜索过程与随机逼近搜索过程结合，提出了一种全新的合格率优化算法，进一步提高了合格率优化过程的收敛速度。

The work presented in this thesis aims at creating a systematic and stable method based on stochastic optimization strategy to tackle this problem.

本文旨在应用随机最优化原理，建立求解这一复杂问题的有效的系统工程方法。

Based on different optimization criteria, this problem is formulated as a chance constrained programming model and a stochastic programming model with recourse.

提出了基于随机模拟的禁忌搜索算法，基于随机机产生的测试问题的实验结果验证了算法的有效性。

A hybrid method based on differential evolution and subgradient optimization is used to solve the problem. It is found that the proposed method can find solutions better than the de facto commercial software LINGO.

在采用一种混合微分演化及次梯度优化法来解决此问题之后，实验结果发现这种混合法比业界公认的商业软体LINGO能够找到更好的答案。

A well known problem in optimization theory asks for a relatively easy way of finding a spanning subgraph with a special property.

最优化理论中的一个有名的问题要求：用比较容易的方法来寻求具有某种特殊性质的生成子图。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。