优化

基本解释 (translations)

optimize  ·  optimizes  ·  majorization

与优化相关的网络例句 [注：此内容来源于网络，仅供参考]

PSO is a population-based optimization algorithm, which mimics the social behavior of animals in a flock. It makes use of individual and group memory to update each particle position allowing global and local search optimization. The objective function considered was the total weight of the structure subjected to stresses, displacements and forces constraints. The effects of the parameters were investigated as well and such combination of tuning parameters promote a better global search behavior avoiding premature convergence while rapidly converging to the optimal solution. Results showed the effectiveness of the proposed method by comparing with ANSYS Design Optimization Tool (zero-order method). The PSO with the tuning parameters makes it an ideal method for offshore wind turbines foundations optimization tasks.(2) A reliability analysis method for pile foundation bearing axial loads based PSOThe performance function of pile foundation's axially bearing capacity sometimes is nonlinear and complex, on the basis of geometric meaning of structural reliability index, an optimum model with PSO for structural reliability analysis under arbitrary random variables was established, The PSO algorithm is very efficient to solve global optimization problemsIts use in structural reliability field presents not only the advantage of its facility of implementation, but also the possibility to obtain the design point and the failure probability with a good accuracy. In addition, PSO is a zero order algorithm, for no derivative is necessary for its implementation.

本文的研究针对桩式海上风机基础结构的特点，在国内外有关研究成果的基础上对海上风机基础结构优化设计理论和可靠度方法一些相关问题进行了较为深入的研究，具体做了以下几个方面的工作：(1)基于粒子群优化的桩式海上风机基础确定性优化设计方法桩式海上风机基础的优化设计是一个复杂的、非线性约束的优化问题，针对传统的基于梯度信息的优化方法在处理非线性问题中易陷入局部最优解的问题，本文将一种耦合惩罚函数的PSO算法引入到海上风机基础结构概念设计中，PSO算法是从群体动物聚集觅食这一活动中受到启发而发展的，该算法利用个体和群体的信息共享不断改进自身的位置从而进行局部和全局最优搜索，本文中以桩和三脚架连接段直径及壁厚为设计变量，以基础总重量作为优化的目标函数，在给定的约束条件下建立了三脚架基础优化数学模型，另外本文还研究了PSO参数变化对结果的影响，协调的参数组合可以避免陷入早熟收敛而能够快速的获得全局的最优解，通过与ANSYS优化模块的计算结果比较验证了该方法的有效性，本方法为海上风机基础的确定性设计提供了一条有效的途径。

Firstly, according to the difficulties in the optimization of chemical engineering and the intrinsic disadvantage of deterministic optimization algorithms, this work analyzed the importance and advantage of stochastic algorithms, and proposed some important aspects in research on them. Secondly, genetic algorithm was applied to two problems of data driven modeling, one of which was combination problem, the other was mixed integer nonlinear programming. Thirdly, systemic investigations were made on the basic structure, dynamic behavior and modifications of particle swarm optimization. Lastly, two kinds of proposed PSO algorithms were applied on calculation of phase equilibrium, which is nonconvex optimization.

本文首先根据化工优化中存在的困难和确定性优化算法内在的缺点，分析了随机优化算法的重要性，并提出研究随机优化算法应注意的问题；其次，将遗传算法应用于两个数据驱动建模问题，一为组合优化问题，一为混合整数优化问题；再次，从粒子群优化算法的基本结构、运动行为、改进方法做了系统的研究：最后，将提出的两种改进粒子群优化算法应用于相平衡计算问题，为非凸全局优化问题。

At the same time, fall behind the property with the exploitation efficiency for resources for fast growth for norm 化 for government aegis for can winning will less and lessly, this too canning stimulate the local business enterprise management with market 化 operating, encouraging outstanding business enterprise, from but enhancing the stronger business enterprise of competition ability contributioning China take up employment increase can made,优化 our country install, increasing the resources of behind schedule business enterprise.

同时，落后产业和落后企业所能够获得的政府保护将会越来越少，这也会刺激国内企业的规范化经营和市场化运作，鼓励优秀企业的快速成长，从而强化竞争力较强的企业对中国就业增长所能够作出的贡献，优化我国的资源配置，提高资源的利用效率。

Finally, according to the various properties of the optimization algorithms, the optimization algorithms have been applied to predicting the silicon content of hot metal and to optimizing the operation parameters of the blast furnace to meet the need of the higher hot metal output and the lower coke rate. Major research work in this paper includes:(1) Based on the study of the statistic property of the Logistic chaos map, the author has proposed the nested intervals chaos search method which improves the ergodicity of the chaos search by searching the area once more where the probability distribution is small.

高炉炼铁生产是一个复杂的非线性过程，高炉生产操作参数的优化涉及优化模型的建立、多目标优化、约束条件的检验等多个问题，对于这么一个复杂的优化问题，传统、单一的优化方法已存在局限性，因此本文研究了两种新型的具有不同特点的优化方法：基于混沌理论的优化方法和基于人工免疫理论的优化方法，并设计了几种混合优化方法。

Furthermore, buckling effect factors and their influence law are exploited. Finally, combining the character of piles foundation with high bridge piers with engineering practice, four optimal mathematic models are proposed and flow diagram of optimization analysis is fulfilled by the computer optimum program. A numerical example is analyzed to get optimal solution by using this program. Meanwhile based on the optimal model with buckling coefficient as the objective function, parameter variables are discussed about their effect rule toward the optimal value of objective function.

最后，针对高桥墩桩基础的特点，在基本优化模型的基础上，根据不同的目标函数建立了相应的优化模型，给出优化设计算法流程图，编制了相应的优化计算程序；并根据高桥墩桩基的工程实际设计了一个数值算例，采用本文编制的优化计算程序对该结构进行优化，得到了优化后的最优解；同时，采用高桥墩桩基屈曲系数作为目标函数的优化模型进行因素分析，初步探讨了参数变量对目标函数最优值的影响规律和程度。

This paper determines the design idea of combining VISC with structural optimization design. Problems which existed in structural optimization design are analyzed and contents of optimization process are determined. Calling and dominating calculation program written in FORTRAN in the development environment of Delphi are realized by the techniques of FORTRAN/Delphi mixed-language programming and multi-threaded application. Parallel coordinates visualization technology is deeply researched and applied in software exploitation of optimization process. Essential programs of VISC software are compiled. Approaches which can improve efficiency of optimization are discussed. In the end, functional modules are integrated and a typical computational example is verified.

本文通过对结构优化设计和科学可视化的研究，确立了天线结构优化设计与科学计算可视化技术紧密结合的思路；根据天线结构优化设计的特点，针对优化设计中存在的问题，对系统结构优化的总体框架进行了分析和论述，确定了优化过程可视化的具体内容；通过FORTRAN与Delphi的混合语言编程实现了在Delphi环境下对FORTRAN计算程序的调控，充分利用了原有FORTRAN程序资源；对平行坐标技术进行深入研究，并将其应用于优化过程可视化模块的软件开发中，实现多维数据空间的可视化；编写优化计算过程可视化软件的核心程序；探讨了提高优化效率的途径；对基于可视化的天线结构优化设计软件系统进行集成，针对某天线进行了算例验证。

The traditional query tree optimization methods,parallel database optimization methods based on left linear trees and right linear trees,bushy trees,and operation of the forest,have their own pros and cons,they have been more in-depth and maturity of the study.The query optimization method based on multiple weighted tree has studied its model of parallel query plan,its complexity model of parallel query plan and query optimization algorithms.The semantic query method transforms an inquiry into one or several semantic equivalence inquiries then has to find and implement a strategy to achieve a better query.Agent-based parallel database query optimization using Multi-Agent technology to automatically search the integrity constraint conditions which are related to the determined query,there for,the efficiency between several relations' joins has been greatly improved.The parallel optimization algorithm,based on genetic algorithm which is suitable for multi-joins of cluster environment,has deeply studied the relations storage options,multi-joins query optimization and query processing and other key technologies based on cluster parallel database.

传统的查询树优化方法，即基于左线性树、右线性树、浓密树、操作森林的并行数据库查询优化方法，各有优劣，对其的研究比较深入、成熟；基于多重加权树的查询优化方法，研究了其并行查询计划模型、并行查询计划的复杂性模型和查询优化算法；语义查询优化方法将一个查询变换成一个或数个语义等价的查询，进而寻找并执行这些等价查询中具有较好实现策略的一个；基于Agent的并行数据库查询优化采用Multi-Agent技术自动查找与给定查询有关的完整性约束条件，使得多个关系间连接操作的效率得到很大的提高；基于遗传算法的并行优化算法，深入研究了基于机群并行数据库中关系存储的选择、多连接查询优化和查询处理等关键技术。

An optimization design scheme is crucial for torpedo, however, there has been no any such method recognized so far. This paper presents a method for torpedo lineshape optimization design based on the iSIGHT. In this method, the optimization strategies of simulated annealing algorithm and continuous quadratic planning method are adopted, and the fluid analysis software Fluent is integrated to calculate the fluid parameters of torpedo body lineshape. The comparison of the optimization results obtained by both the presented and the traditional methods shows that the torpedo lineshape optimization method based on the iSIGHT is satisfactory and feasible.

寻找最优设计方案是鱼雷设计的重中之重，针对目前鱼雷优化设计领域还没有一套公认的优化设计方法这一现状，提出了一套基于iSIGHT的工程设计优化方法，将这款商业软件应用于鱼雷线形优化设计中，采用了模拟退火算法+连续二次规划法的优化策略，集成流体分析软件Fluent对雷体线形的流体参数进行了计算，并与传统优化方法结果相比较，结果表明，基于iSIGHT的优化设计方法在鱼雷线形优化设计中是可行的，能够得到令设计人员满意的鱼雷线形优化方案。

Including the site Mz Ultimate Tweaker,优化设置 to introduce information about the text, links and software to download screenshots.

包括本站 Mz Ultimate Tweaker，优化设置介绍资料，说明文字，下载链接和软件截图。

There exits several MDO algorithms. But they are in our opinion either nonefficient or complicated. So we devised an algorithm called Subspace Approximation Optimization . In the SAO algorithm, the whole system is decomposed into one system-level optimization and several disciplinary optimizations so that a large and complicated problem can be divided into several easy-solving sub-problems. The coupling relationships and the coordination among disciplines are presented by equality constraints and these equality constraints are assigned to relevant disciplines. The optimums of design variables in system level optimization are transferred to discipline level optimization. The optimums of design variables in discipline level correspond to the point that is the nearest to the optimums of design variables in system level. If the optimums of design variables in system level are out of feasible region of discipline 1eve1, linear constraints can be built in the system level optimization using the design variable optimums obtained by the discipline level optimization. The system level optimization would improve the design of the whole system with these linear constraints.

目前，国内外已经发展出了多种飞机多学科设计优化算法，本文的重点是针对协同优化算法的不足，提出了子空间近似优化算法(Subspace ApproximatingOptimization，SAO)，SAO算法中，整个系统的优化问题被分解成一个系统级优化和若干学科级优化，而各个学科之间的耦合与权衡关系则被当作等式约束，这些等式约束将被分配到各个学科级优化中去，系统级优化的任务是寻找整个系统的最优解，而学科级优化的目标函数是以系统级优化分配下来的设计点为圆心的超球半径的平方，因此，如果系统级优化分配下来的设计点在学科级优化可行域内，则学科级优化目标函数为0，反之，则学科级优化的最优点是系统级优化当前设计点距离可行域最近的点。

与优化相关的网络解释 [注：此内容来源于网络，仅供参考]

Optimizing allottee yield：优化配产

优化控制:optimizing risk control | 优化配产:Optimizing allottee yield | 优化模块:optimizing module

Nonlinear constrained optimization：非线性约束优化问题

不等式约束优化问题:Inequality constrained optimization problem | 非线性约束优化问题:Nonlinear constrained optimization | 约束布局优化问题:Constrained layout optimization

discrete structure optimization：离散结构优化

资本结构优化:Capital structure optimization | 离散结构优化:discrete structure optimization | 经济结构优化:Optimization of economic structure

discrete particle swarm optimization：离散粒子群优化算法

扩展粒子群优化算法:extended particle swarm optimization | 离散粒子群优化算法:discrete particle swarm optimization | 粒子群优化算法:Particle Swarm Optimization Algorithms (PSO)

optimize dispose：优化配置

资源优化:resource optimize | 优化配置:optimize dispose | 优化对策:measure to optimize

Dynamic optimization design：动态优化设计

多学科设计优化:Multidisciplinary design optimization | 动态优化设计:Dynamic optimization design | 两相优化设计:two-stage optimization design

structural dynamic optimization：结构动力优化

结构优化算法:structural optimization algorithm | 结构动力优化:structural dynamic optimization | 结构优化设计:structural optimization

peephole optimization：窥孔优化

另一方面,一些优化可以延迟到目标代码生成之后-检查并重写目标代码以反映优化.例如, 转移优化可以以这种方式进行 (有时因为通常只观察目标代码的一小部分来进行优化,所以在 目标代码上进行的优化称作为窥孔优化 (peephole optimization)).

Optimization Toolbox：优化工具箱

文章摘要:以直齿圆柱齿轮的体积为优化的目标函数,建立了单级斜齿轮减速器的可靠性优化设计数学模型,并结合实例介绍了MATLAB优化工具箱(Optimization Toolbox)在优化计算中的应用.

enhancing：优化

优化处理可近一步划分为优化(Enhancing)和处理(Treating)两类. 优化是指"传统的、被人们广泛接受的使珠宝玉石潜在的美显现出来的优化处理方法",如热处理、漂白、浸无色油以及玉髓玛瑙的染色等. 现代宝石的大多数几乎都经过了这些优化处理而为人们所接受,