optimization problem

Transmission network expansion planning is a complicated, nonlinear, large-scale combinatorial optimization problem.

输电网扩展规划是复杂的大规模非线性组合优化问题.

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Genetic algorithm plays an important role in solving global optimization problem.

遗传算法在解决全局优化问题中起着重要的作用.

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In this article the optimization problem of time varying system identification is discussed.

考虑时变系统辨识中辨识设计变量的最优化问题.

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Locomotive working diagram is a multi-constraint combinatorial optimization problem.

机车周转图的编制是多约束条件的组合优化问题.

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A kind of genetic algorithm is applied to the scheduling of clothing production, the character of global optimization is utilized to solve the assembly line balancing problem in apparel manufacturing.

将遗传算法应用于服装生产调度中，利用遗传算法的全局优化特点解决并行制造中的流水线平衡问题。

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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。

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Redundancy allocation is a combinatorial optimization problem of system design.

冗余分配是系统设计中的组合优化问题.

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In this paper, the Alopex optimization algorithm was successfully used for the global optimization problem of motor design.

文中采用Alopex优化算法，很好地解决了电机设计中的全局最优化问题。

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A study on optimization problem and solving method of PCB assembly time of single mounter.

研究了单机PCB板组装时间优化问题及其求解方法。

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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。

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The underlying optimization problem is transformed into a quadratic program and is, thus, easily and quickly solved by standard programs.

由此衍生出的最优化问题则通过转化为二次规划，利用其标准程序进行简便快捷的求解未知量。

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Bilevel optimization problem is a basic form of hierarchical level optimization problems.

双层优化问题是递阶多层次优化问题最基本的形式.

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The non-smooth optimization problem is transformed into a smooth one.

该方法将 非 光滑优化问题转化为光滑优化问题.

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A new gradient descent algorithm for unconstrained optimization problem is proposed.

提出了一种新的无约束优化下降算法.

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Steiner Problem and Optimization of the Layout for a Pipe Network of water Supply

Steiner问题和给水管网布局的优化

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The GSO algorithm is good at solving continuous optimization problem, which has been successfully used for collective robot, multi-modal function optimization, network sensor layout, cluster analysis and so on.

该算法在解决连续型最优化问题方面表现出了良好的性能，已成功地应用到机器人协同合作，多极值函数优化，网络传感器布局，聚类分析等多个方面。

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Vehicle routing problem with time windows ( VRPTW) is an NP-complete optimization problem.

带时间窗口的车辆路径问题（VRPTW）是一个NP-Complete优化问题。

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This paper proposes a hybrid optimization algorithm to combinatorial optimization problem.

基于鱼群算法和蚁群算法提出一种混合优化算法用于求解组合优化问题.

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Ant Colony Optimization Algorithms ( ACOAs ) were appropriate for this optimization problem.

本文引入一种全新的寻优算法-蚁群算法.

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The optimization problem is solved by linear programming technique.

其中引入了线性数学规划方法求解最优化问题.

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Using the remarkable visual data processing function of MATLAB, it describes the shape and essential factors of the optimization problem by geometrical pattern, and makes the optimization model realized and understood deeply.

利用MATLAB出色的数据可视化功能，以几何图形描述优化问题的形态及其要素，以获得对优化模型的直观认识和深入理解。

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The system includes building the geometric database of the missile configuration, computing the aerodynamic performance and RCS ( Radar Cross Section), and handling the multi-objective optimization problem.

该优化系统主要包括，对导弹外形的几何数据处理，对导弹气动特性和雷达散射面的分析计算，以及对多目标优化问题的处理。

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In this thesis, the application of combined hybrid method to axisymmetric elasticity problem and the optimization of combined hybrid axisymmetric finite elements are discussed in a manner of combination of mathematical analysis with numerical investigation.

本文从理论分析和数值实验的角度研究了组合杂交法在轴对称弹性力学问题上的应用和加权系数优化的原则。

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It is only used for solving inequality constrained optimization problem.

它仅用于求解不等式约束优化问题.

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In the estimation, the key is solving a non-smooth optimization problem.

黄金分割方法可直接用于求解一致基本矩阵估计中的 非 光滑优化问题.

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After analyzing the structure property of the established optimization problem, we derive its explicitly optimal solution.

在分析所建立模型结构特性的基础上, 文中还导出了该模型的解析最优解.

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The multi-objective optimization problem is solved by ε-MOEA and cross entropy method. In three case studies, the two algorithms are verified and compared with other four existing algorithms.

本文使用ε-MOEA和交叉熵算法对上述多目标问题进行求解，通过三个实例对其性能进行了验证，并与其他方法进行了对比。

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Based on Pareto rank and penalty function, the multi-objective genetic algorithm is used to solve the flexible-interval preventive maintenance optimization problem.

运用基于Pareto秩和罚函数的多目标遗传算法有效解决了弹性周期预防性维修计划的优化问题。

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An equation or inequality relating the variables in an optimization problem.

问题中,一种表示若干变量相互关系的方程(式)或不等式.

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FEM is the most wide-used structural response analysis technology for structural optimization problem.

在结构优化设计中,有限元方法(FEM) 是一种应用最为广泛的结构响应分析技术.

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