optimization problem的例句大全

The quadratic assignment problem ( QAP ) is one of the great challenges in combinatorial optimization.

二次指派问题是组合优化领域最大的挑战之一.

Automated coverage optimization scheme based on combined multi-parameter adjustment can not only solve comprehensive coverage abnormal problem, but also have a great significance for improving coverage capacity performance of network.

基于多参数联合调整的覆盖自优化方法不但能解决解决综合性的覆盖问题，而且对于提高覆盖容量和改善网络性能指标均有重要意义。

To the problem of multi-constraint and multi-target optimization in learning fuzzy model, TSK fuzzy model is decomposed of twain different species. The method of learning the model by cooperative coevolution is proposed.

针对TSK模糊模型的学习是多约束和多目标优化问题，提出将TSK模糊模型分解为两类不同的种群，协作共同进化的模型学习方法。

The optimal solution of the optimization problem which is the minimal decending step of ranking functions can be used to compute accurate complexity bound of program.

最优化问题的最优解给出了线性秩函数递减的最小步长，因而可以进一步应用于计算循环精确的符号化复杂度上界。

We introduce an improved Adopt algorithm for operating effectively over unreliable communication infrastructure in the context of the Distributed Constraint Optimization Problem ( DCOP).

本文在分布式约束优化问题框架下研究了改进的分布式约束推理算法，使其能有效地运行在不可靠的通信条件下。

Algorithm for TMF scheduling problem; Simulation System Development and Energy Optimization of Brine Treatment Process

分装式流水作业加工模型的算法研究盐水处理工艺的模型开发和能量优化

The methods of optimization diagnosis by solving an inverse heat condition problem based on infrared temperature-measuring.

在分析的基础上,给出了影响圆柱体内壁温度测量的主要因素,提出了优化加热柱体内壁温度测量的途径.

The quadratic assignment problem ( QAP) is one of the great challenges in combinatorial optimization.

二次指派问题是组合优化领域最大的挑战之一。

Quadratic Assignment Problem ( QAP) is one of the classical combinatorial optimization problems and is known for its diverse applications.

QAP（Quadratic Assignment Problem）问题是经典的组合优化问题之一，广泛应用于许多领域中。

An optimal construction algorithm is studied based on long time traffic load to solve the problem of dynamic LCN optimization.

研究了基于长时负载的优化构建算法，解决逻辑承载网动态优化问题。

An improved genetic algorithm ( IGA) is presented for the optimization of utility system which can be described as the problem of nonlinear programming ( NLP).

针对蒸汽动力系统参数优化的整数非线性规划问题（NLP）提出一种改进的遗传算法。

The global linear compensation was introduced in the pH process with the inverse function of the static nonlinear function in the Wiener model to avoid the problem of nonlinear rolling optimization in PFC, and the computational complexity of the controller was further reduced.

用Wiener模型中的静态非线性函数的逆函数对pH值过程进行全局线性化补偿，避免了预测函数控制中非线性滚动优化的问题，降低控制算法的复杂度。

Logistics Distribution Routing Optimization, i.e. Vehicle Routing Problem ( VRP) is not only an important constituent of modern logistical system, but also an essential part of E-commerce. The research is a hot spot in the field of Logistical distribution in recent 20 years.

物流配送路径优化，即车辆路径问题（Vehicle routing problem，VRP），是当今物流配送优化中关键的一环，也是电子商务活动不可缺少的内容，一直是近二十多年来的研究热点。

Analyzes the mathematical similarity between the neural minor component analysis ( MCA) learning rule and beamforming optimization problem. Then, the neural MCA learning rule is used to implement robust adaptive beamforming.

分析了神经次元分析（MCA）学习规则与该波束形成优化问题在数学描述上的相似性，利用神经MCA学习规则实现鲁棒自适应波束形成。

This paper propose s a BenchMark method for One to One marketing optimization problem.

该文针对One to One营销优化问题，提出了一种BenchMark验证方法。

Combined with current problem that DPX company are faced, this paper puts forward the guiding principle of DPX supplier management as well as optimization of transformation.

本文根据DPX公司的实际情况以及目前面对的问题，探讨了DPX公司供应商管理的指导原则以及改善和转变的步骤。

Structural damage detection can often be converted into the problem of constrained optimization.

结构损伤检测问题常常可转化为数学上的约束优化问题.

To obtain the best Executive Manufacturing Process ( EMP) for LMP, the multi-objective manufacturing resources optimization deployment problem was modeled considering the operation Cost, Time and machining Quality ( CTQ).

为了对逻辑加工路线配置最优的可执行加工路线，以运行成本、时间和加工质量为目标，建立多目标优化模型；

The combination of BGW and the MAP works as a MAP of the Hierarchical Mobile IPv6. The BGW will get the information about the MN position and directly send the packets to MN. So solve the problem about route optimization and node congestion.

并且使得边界网关了解移动节点的位置信息，直接将数据包送到移动节点，实现路由优化并解决了MAP的拥塞问题。

The Optimization Problem of Calibrating the Periodic Errors of Lacoste and Romberg Model "G" Gravity Meter

Lacoste-Romberg G型重力仪周期误差检定的优化问题