This course is oriented around computation and computation-related issues in developing and solving large-scale optimization models.
本课程定位是开发和解决大规模最佳化模型中的计算以及计算相关问题。
With the rapid development of computer science and urgent needs for practical problem in recent years, the large-scale optimization problem has drawn more and more attention.
近年来，随着计算机的飞速发展以及实际问题的需要，大规模优化问题越来越受到重视，很多实际问题都可以归结为最优化问题来解。
Power system unit commitment, a problem of nonlinear commitment optimization with typical large-scale hybrid integers, is difficult to get an optimal solution in theory.
电力系统机组组合问题是一个典型的大规模混合整数的非线性组合优化问题，很难得到理论上的最优解。
By recognition of work condition, off-line identification and on-line optimization of parameters, hybrid model can be used to simulate dynamics of complex process correctly in a large scale.
通过工况的识别以及模型参数的离线辨识和在线优化，混合模型可以准确地模拟复杂过程在大范围内的动态特性。
Optimization also involves techniques for solving large-scale, discrete, nonlinear, multiobjective, and global problems.
最优化也包括解决大规模，离散，非线性，多目标和全球化问题的技术。
Data cube compressed storage is an important research content in large-scale database about data cube optimization calculation.
数据立方体的压缩存储是大型数据库中立方体优化计算的重要研究内容。
This paper gives several opinions about the conditions of the optimization of logistics distribution in domestic large-scale circulation enterprises.
本文就国内大型流通型企业物流配送优化应具备的条件进行了阐述与分析。
The hot rolling lot planning in iron and steel enterprises is a large-scale combination optimization problem with many restrictions.
钢铁生产中热轧批量计划编制属于多约束情况下大规模组合优化问题。
The calculation results demonstrated that IGP could solve the problems of optimization synthesis for large-scale complex distillation system rapidly.
计算表明，本算法可以快速准确地求解大规模复杂精馏系统优化综合问题。
Aiming at the difficulties existing in large-scale water pollution monitoring systems, a connectionist model based local optimization algorithm and its application are discussed in this paper.
针对水域污染监测数据融合系统中存在的困难，讨论了基于“连接”模型的局部优化算法及其应用。
Collaborative optimization (CO), as a typical MDO method, is well suited to multidisciplinary design environment, especially large-scale distributed analysis problem.
协作优化就是一种多学科优化方法，它适用于多学科分析环境，尤其适用于大型分布式分析问题。
Based on successive unconstrained programming methods, the successive bound constrained programming algorithms for large-scale process system optimization are studied in this paper.
基于非线性约束极小化的序列无约束方法，对大规模过程系统稳态优化的序列界约束方法进行了研究。
Optimal multistage transmission system expansion planning is a large-scale nonlinear combinatorial optimization problem.
多阶段输电系统规划问题是一个复杂的非线性组合优化问题。
Pr conjugate gradient method is one of the efficient methods for solving large scale unconstrained optimization problems, however, its global convergence has not been solved for a long time.
PR共轭梯度法是求解大型无约束优化问题的有效算法之一，但是算法的全局收敛性在理论上一直没有得到解决。
An optimization method for large scale problems which combines Newton method and Interated-Subspace method is proposed.
结合牛顿法与子空间迭代的思想，给出了一种求解大型优化问题的方法。
Conjugate gradient method, which can be easily computed and requires no matrix storage, is one of the most popular and useful method for solving large scale optimization problems.
共轭梯度法是最优化中最常用的方法之一，它具有算法简便、不需要矩阵存储等优点，十分适合于大规模优化问题。
Global path planning problem for autonomous underwater vehicle (AUV) based on large-scale chart data is investigated by using ant colony optimization (in shorts, ACO) algorithm.
在大范围海洋环境中，应用蚁群算法对自主式水下潜器(AUV)的全局路径规划问题进行了研究。
In this paper, an interaction balance coordination algorithm of integrated system optimization and parameter estimation for nonlinear discrete dynamic large scale system is introduced.
提出一种非线性离散动态大系统系统优化与参数估计集成的关联平衡协调算法。
It is difficult to solve in large scale because the LRP is a typical NP-hard problem in combinatorial optimization.
由于定位-车辆路线问题是组合优化问题中一个典型的NP难题，大规模时难以精确求解。
A combined optimization decision tree algorithm suitable for a large scale and high dimension data-base is presented.
提出了一种适合于大规模高维数据库的组合优化决策树算法。
This paper introduces a heuristic algorithm to solve a large-scale combinatorial optimization problem for transportation problem with constrained resources.
介绍了一种求解资源约束条件下的大规模组合优化运输问题的启发式方法。
Distributed optimization algorithm is an efficient control strategy to reduce the on line computational complexity of model predictive control for large scale systems.
分布式求解策略是为了降低大规模预测控制系统在线实施的计算量和计算复杂性而提出的一种有效算法。
A subspace truncated-Newton algorithm for large-scale bound constrained optimization is proposed.
给出了大规模界约束优化的一个子空间截断牛顿法。
Intelligent method has been widely used in reactive power optimization because of its superiority in solving the large-scale nonlinear programming problem.
近年来，由于在解决大规模非线性规划问题上的优势，智能算法在电力系统无功优化问题中获得广泛应用。
Therefore, the evolutionary algorithms have been successfully applied to various fields, especially to some complex, large scale, nonlinear and non-differentiable optimization problems.
其独特的性能已在众多领域内获得了成功的应用，着重用于解决复杂的、大规模的、非线性、不可微的优化问题。
The Algorithm has very wide generality and very good efficiency, its basic principle can widely be used in solving large scale combinatorial optimization problems.
该算法通用性强，效率高，其基本原理可广泛应用于求解大规模的组合优化问题。
The trend in development of PTA process is discussed in aspects of large - scale, process optimization, rational utilization of energy, material consumption, environment protection and new materials.
从大型化、流程优化、能量的合理利用、物耗损失、环保及新材料等方面叙述了PTA技术的发展趋势。
In engineering design optimization (DO) of large-scale and complex systems, it is important to handle epistemic uncertainty which exists in design parameters and stages of DO.
在对大规模复杂系统进行设计优化的过程中，处理好各环节和各设计参数中存在的认知不确定性是十分重要的。
In engineering design optimization (DO) of large-scale and complex systems, it is important to handle epistemic uncertainty which exists in design parameters and stages of DO.
在对大规模复杂系统进行设计优化的过程中，处理好各环节和各设计参数中存在的认知不确定性是十分重要的。
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