蚁群算法在处理大规模优化问题时效率很低。
Two improvements on Ant Colony Optimization(ACO) algorithm is presented in this paper.
本文在利用优化性质的基础上，提出了一种适于大规模优化调度问题的多项式时间算法。
Basing on the optimal properties, this paper proposes a polynomial time algorithm which is suitable to solve the large scale scheduling problem.
因此，包括涉及大规模决策变量及大规模优化目标在内的优化问题对现有自然启发式算法提出了很高的挑战。
Hence, large optimization problems that involve either a large number of decision variables or many objectives pose great challenges to the current research in nature-inspired optimization.
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。
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.
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。
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.
海森矩阵被应用于牛顿法解决的大规模优化问题。混合偏导数和海森矩阵的对称性海森矩阵的混合偏导数是海森矩阵非主对角线上的元素。
Hessian matrices are used in large-scale optimization problems within Newton-type methods because they are the coefficient of the quadratic term of a local Taylor expansion of a function.
移民点的巨大规模让优化食物必需品的加工和储存变得困难。
The large size of the settlements made improving processing and storage of necessary food difficult.
鉴于十年以来的数据增长，OLTP服务器现在也在处理大规模数据，这就需要一个优化工具来执行提取、转换和加载(etl)操作。
Considering the data growth in the last decade, OLTP servers are also handling a massive amount of data that demands an optimal tool for performing extract, transform, and load (ETL) operations.
大规模集群的性能优化。
研究表明，在绿色制造中采用大规模定制生产方式，可以使企业的经济效益和社会效益得到协调优化。
The study shows that by adopting the production mode of mass customization in green manufacturing, the enterprises can coordinate and optimize their economic and social profits.
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。
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.
首先，Netezza数据库管理系统(DBMS)，一个面向大规模并行netezza环境的高度优化的引擎，不会使用索引。
First, the Netezza database management system (DBMS), a highly optimized engine for the massively parallel Netezza environment, does not use indexes.
优化的通信方式让PWS能够支持上千节点的大规模机群系统。
With optimized communication system, PWS can support cluster systems with thousands of CPUs or nodes.
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。
Optimization also involves techniques for solving large-scale, discrete, nonlinear, multiobjective, and global problems.
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 hot rolling lot planning in iron and steel enterprises is a large-scale combination optimization problem with many restrictions.
给出了大规模界约束优化的一个子空间截断牛顿法。
A subspace truncated-Newton algorithm for large-scale bound constrained optimization is proposed.
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。
The calculation results demonstrated that IGP could solve the problems of optimization synthesis for large-scale complex distillation system rapidly.
大系统优化技术作为解决大规模复杂的灌溉规划问题的一种有效手段，已经得到广泛应用。
As a feasible method, the large system optimal technics has been applied in irrigation planning for solving some large-scale and complicated 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。
Therefore, the evolutionary algorithms have been successfully applied to various fields, especially to some complex, large scale, nonlinear and non-differentiable optimization problems.
为解决大规模场景中绘制实时阴影的问题，提出优化的阴影体算法。
An optimized shadow volume algorithm was developed to render shadow in large-scale scene.
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。
It is difficult to solve in large scale because the LRP is a typical NP-hard problem in combinatorial optimization.
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。
A combined optimization decision tree algorithm suitable for a large scale and high dimension data-base is presented.
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。
This paper introduces a heuristic algorithm to solve a large-scale combinatorial optimization problem for transportation problem with constrained resources.
共轭梯度法是求解大规模无约束优化问题的一种有效方法。
Conjugate gradient method is an efficient method in solving problems with unconstrained optimization, which is especially efficient in dealing large dimension.
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 Algorithm has very wide generality and very good efficiency, its basic principle can widely be used in solving large scale combinatorial optimization problems.
利用随机生成数据进行的模型试验表明，模型可以在较短的时间内求解较大规模的收益管理优化问题。
With randomly generated data, the preliminary computational test shows that the large scale model which is close to real application size can be solved within reasonable time.
考虑神经网络在训练大规模样品时易陷入局部极小，用梯度下降法与混沌优化方法相结合，使神经网络实现快速训练的同时，避免陷入局部极小。
Combining grading method with chaotic optimization, the neural network model achieves rapid training and avoids local minimum when there are a lot of samples to be trained.
考虑神经网络在训练大规模样品时易陷入局部极小，用梯度下降法与混沌优化方法相结合，使神经网络实现快速训练的同时，避免陷入局部极小。
Combining grading method with chaotic optimization, the neural network model achieves rapid training and avoids local minimum when there are a lot of samples to be trained.
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