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optimization of scheduling相关的网络例句

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与 optimization of scheduling 相关的网络例句 [注:此内容来源于网络,仅供参考]

Optimization solution algorithm is the most important in topology optimization.Algorithms fit for discrete structure and continuum structure are all investigated. Thecharacteristic and different using limit of both optimization criteria method andmathematics programming method are all analyzed in this paper. OC algorithm and theseries MMA algorithm based on SIMP approach are deducedand used for the topology optimization problem of continuum structure.

优化求解算法是拓扑优化问题求解的核心和关键,本文系统分析了适用于离散结构和连续体结构优化的优化求解算法,重点讨论了 OC 算法和 MP 算法,分析比较了不同算法的特点和适用范围,推导了基于 SIMP 理论的优化准则法和 MMA 系列算法,并将MMA 系列算法应用于连续体结构拓扑优化问题的求解。

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。

The reliability theory is combined with the fuzzy optimization technique, the theories and methods on the symmetrical fuzzy reliability optimization design, the asymmetric fuzzy reliability optimization design and the multi-objective fuzzy reliability optimization design are presented respectively, and then the correspondence direct model solutions, the iterative solutions, the corrected algorithm for iteration method, the level cuts solutions and the searching solutions with limited boundary for the asymmetric fuzzy reliability design are presented respectively.

将可靠性理论与模糊优化技术有机地结合起来,提出了结构对称模糊可靠性优化设计、非对称模糊可靠性优化设计和多目标模糊可靠性优化设计理论与方法,并分别给出了模型的直接解法、迭代解法、迭代求解的改进算法和非对称模糊可靠性优化设计模型的水平截集法和限界搜索法。

Based on the ICMmethod,the discrete topological optimization problem about spot-weld's existence or not is transformed into the continuous optimization problem on[0,1].The optimization model is founded with maximizing the structural stiffness as objective and structural strength as constraints.The problem of multi-objectives and multi-constraints is transformed into the problem of single-objective and single-constraint with the K-S function.The displacement and stress are transformed into the explicit function of design variables with the Response Surface Methodology.The optimization model is solved with Sequential Quadratic Program.

基于ICM(Independent Continuous Mapping,即独立、连续、映射)方法,将焊点有无的离散拓扑优化问题转化为[0,1]区间上的连续优化问题;建立了以结构刚度最大为目标、结构强度为约束的连续拓扑优化模型;采用K-S函数将多目标和多约束问题转化为单目标和单约束问题;运用响应面方法将位移和应力转化为设计变量的显式函数,采用序列二次规划方法求解优化模型。

Perspective of the thesis is from the social development and enterprise progress, to enhance competitive advantage of technological enterprises as the goal, describe the necessary to resolve the issue of the organizational structure by a comparative analysis, as well as in practice, optimization of the organizational structure has practical significance, the thesis is on the basis of optimization analysis of organizational structure of Shenzhen MG technology company, and uses the four-cycle perspective to describe the cyclical dynamic reconfiguration of the organization optimization problem, through the planning, startup, diagnosis, design, reconstruction, monitoring , as well as steps to improve the optimization of organizational structure, provide a new way of thinking and problem-solving approach to improve the efficiency of organization for similarity technology enterprises.

本文从社会发展、企业进步的视角出发,以提升科技企业竞争优势为目标,阐述了解决企业组织结构问题在理论上的必要性,以及组织结构优化在实践中所具有的现实意义。本文在对深圳MG科技公司组织结构现状进行分析的基础上,采用四循环法这种以周期性的观点描述企业动态组织优化问题的方法,通过策划、启动、诊断、设计、重构、监控、以及改进等步骤逐步实现对深圳MG科技公司的组织结构优化,所得的研究成果为类似科技企业进行组织结构优化提供了新的解决思路和方案。

The course is a comprehensive introduction to the theory, algorithms and applications of integer optimization and is organized in four parts: formulations and relaxations, algebra and geometry of integer optimization, algorithms for integer optimization, and extensions of integer optimization.

本课程对整数最优化的理论、算法和应用做了全面的介绍。课程分为四部分:公式和松弛、整数最优化的代数学和几何学、整数最优化的算法,以及整数最优化的拓展。

The main works include five parts:(1) A modified K-means algorithm for optimizing the RBPNNs' structures was proposed;(2) The RBPNNs' structure optimization method based on the orthogonal least square algorithm was proposed that can greatly reduce the computation expense for the structure optimization;(3) Using the GA to perform the whole structure optimization of the RBPNNs was proposed in this thesis, which include simultaneous optimization of the hidden centers and the corresponding controlling parameters of the kernel functions.

主要工作体现在如下三个方面:(1)提出一种改进的 K-Means 算法;(2)提出了基于递推正交最小二乘算法的结构优化算法来训练径向基概率神经网络,从而大大减小了用于结构优化的计算开销;(3)提出使用遗传算法来实现径向基概率神经网络的全结构优化,即隐中心矢量和核函数控制参数同时优化,通过新设计的编码方式、新构造的适应度函数,充分发挥了 GA 的全局搜索性能,使得所优化的径向基概率神经网络的结构趋于最简。

In order to relieve urban traffic congestion and the supply-demand contradiction of oversaturated intersection group,based on the idea and method of system engineering,model oversaturated intersection group system which is composed of oversaturated intersection subsystem,through system function analyzing,identify the optimization object of system function,establish the optimization model of oversaturated intersection group,present solving strategy of the optimization model,achieve global optimization of oversaturated intersection group system.

为缓解城市交通拥堵以及过饱和交叉口群的交通供需矛盾,基于系统工程的思路和方法,构建了由过饱和交叉口子系统构成的过饱和交叉口群系统模型,并通过系统功能的分析,明确了系统功能的优化目标,建立了过饱和交叉口群系统优化数学模型,并提出了优化模型的求解策略,以实现过饱和交叉口群系统的全局最优化。

To analyze quantitatively the performances of genetic algorithms used in aerodynamic optimization design and the effects of the skills introduced, the numerical test planform for genetic optimization models is set up on Microsoft Fortran Powerstation. As applications, several aerodynamic optimization designs for airfoil, wing and aircraft are carried out to testify the adaptation of genetic optimization models.

建立了以Fortran Powerstation 4.0为开发环境的各种遗传优化模型的数值试验平台,对各遗传算法、改进技术及其优化模型的性能(优化质量和优化效率、可操作性)进行定量分析,并在此基础上建立了翼型、机翼和全机的优化设计软件系统。

We introduce convex,and in particular semidefinite,optimization methods,duality and complexity theory to shed new light to this relation for the single stock problem, given moments of the prices of the underlying assets,we show that we can find best possible bounds on option prices with general payoff funcations efficiently,either algorithmically(solving a semidefinite optimization problem)or in closed form, conversely,given observable option prices,we provide best possible bounds on moments of the prices of the underlying assets,as well as on the prices of the other options on the same asset by sovling linear optimization problems for options that are affected by multiple stocks either directly(the payoff of the option depends on multiple stocks)or indirectly(we have information on correlations between stock prices),we find on-optimal bounds using convex optimization methods,however,we show that it is NP-hard to find best possible bounds in multiple dimensions,we extend our results to incorporate transactions costs,this paper,in theory and practice can provide a reference to researchers and designers about Chinese financial derivative products,the full text is divided into six chapters as follows: ChapterⅠ:Papers on the background and significance of the subjects on a number of option pricing models as well as their advantages and shortcomings of the model and describes the status of research and writing papers and the main contents of the basic idea.

相应地,给定期权价格,也能够出标的资产瞬时价格的最有可能的最好的界。还有通过解决一个线性最优化问题,根据同一标的资产的其他期权的价格来找到这个期权的界值,对于期权受到多种股票价格直接影响(期权的收益依赖于多种股票)或者间接影响(我们有股票之间联系的有用信息),如果使用凸规划方法我们就会发现没有最优的界,也能够证明对于多维情形确实是很难找到最优的最有可能的界值,最后将这一结论推广到考虑交易成本的情况。本文在理论和实践上给我国金融衍生产品研究者和设计者提供一定的参考。全文共分为六章,具体安排如下:第一章:阐述论文的选题背景和意义,介绍期权定价的一些模型以及这些模型的优点与缺点,并介绍国内外研究的现状以及论文的写作基本思路与主要内容。

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