查询词典 optimization problem

A fine-grained genetic algorithm based algorithm which is for the parameters optimization problem of agent model is proposed. The fine-grained genetic algorithm is used to solve the parameters optimization problem of agent model. As to the parameters optimization problem of the agents colony model, the first step is to define the concept of "the parameters mode of the combat agents colony" to describe the parameters of the combat agent colony model. Then the genetic algorithm is used to solve the optimization problem with the parameters mode of the combat agent colony model as the genetic individual. Besides the algorithm, the algorithm dispatch tactic is also considered. And the two level sequence dispatch tactic and the two level nesting dispatch tactic are put forward for those complex parameters optimization problem. At last, the model parameters optimization under antagonism codition is studied. The means to solve this problem is to translate it into a kind of antagonism problem, then use the competitive co-evolutionary genetic algorithms to solve it.

其中：提出了一种基于细粒度模型的作战智能体模型参数优化求解算法，用细粒度模型遗传算法求解作战智能体模型参数优化问题；提出了"作战智能体群体参数模式"的概念，对作战智能体群体模型参数进行形式化描述，再以作战智能体群体参数模式为遗传个体，应用遗传算法求解作战智能体群体模型参数的优化问题；研究了上述优化问题求解算法的调度策略，提出了分层模型参数优化算法的双层顺序调度策略和双层嵌套调度策略，解决复杂的模型参数优化问题；将对抗条件下作战模型参数的优化问题转化为一种对抗性问题，应用竞争性共同进化遗传算法，进行求解。

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。

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。

A novel hybrid algorithm, which combines predictor-corrector primal-dual interior point method and genetic algorithm, is presented for dynamic and static reactive optimization in this dissertation. The algorithm fully make use of the advantage of interior point method in solving successive optimization problem and the advantage of genetic algorithm in solving discrete optimization problem. The original problem is divided into three parts: total successive problem, discrete problem and successive problem.

结合内点法和遗传算法，本文提出了一种新颖的混合算法用于求解动、静态无功优化问题，算法充分利用了内点法易于求解连续优化问题和遗传算法易于求解离散优化问题的优势，将原优化问题分解为初步的连续优化问题、离散变量优化问题、连续变量优化问题这三个子问题分别求解。

On the other hands, the application of the particle swarm optimization algorithm in discrete optimization problem—resources constrained project scheduling problem, which is always used in continuous optimization problem, provides some important train of thought and method for resources constrained project scheduling problem as well as widening the application area of particle swarm optimization algorithm.

同时将在连续优化问题中得到成功应用的PSO算法用于离散域的RCPSP，既拓展了PSO算法的应用领域，也为RCPSP的求解提供了一种新的思路和方法。

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。

The 5th chapter studied the crucial problem of floating detection application, develop the traffic flow information collection technology based on GPS, put forward the general principle and optimization method of the floating detection minimum sample size, and simulate several sample size scenarios of floating detection on the city road with the microscopic simulation software The 6th the combination application optimization of the dynamic traffic flow information collection technology, put forward the necessariness of combination application optimization, then analysed the principle and work steps of combination application optimization design, finally gived an example for the combination application optimization.

第五章是移动型检测器应用的关键问题研究。本章对移动型检测器的空间布置问题进行了研究，设计研究了基于GPS的动态交通流信息采集技术，提出了移动型检测器最小样本量确定的一般原则和方法，并利用微观仿真模拟软件进行了模拟分析。第六章是动态交通流信息采集技术组合应用优化设计研究。本章首先提出了进行动态交通流信息采集技术组合应用优化设计的必要性，然后分析了组合应用优化设计的原则，设计了组合应用优化设计的工作步骤，并举例分析了动态交通流信息采集技术组合方案的优化设计方法。

The 5th chapter studied the crucial problem of floating detection application, develop the traffic flow information collection technology based on GPS, put forward the general principle and optimization method of the floating detection minimum sample size, and simulate several sample size scenarios of floating detection on the city road with the microscopic simulation softwareThe 6th the combination application optimization of the dynamic traffic flow information collection technology, put forward the necessariness of combination application optimization, then analysed the principle and work steps of combination application optimization design, finally gived an example for the combination application optimization.

第五章是移动型检测器应用的关键问题研究。本章对移动型检测器的空间布置问题进行了研究，设计研究了基于GPS的动态交通流信息采集技术，提出了移动型检测器最小样本量确定的一般原则和方法，并利用微观仿真模拟软件进行了模拟分析。第六章是动态交通流信息采集技术组合应用优化设计研究。本章首先提出了进行动态交通流信息采集技术组合应用优化设计的必要性，然后分析了组合应用优化设计的原则，设计了组合应用优化设计的工作步骤，并举例分析了动态交通流信息采集技术组合方案的优化设计方法。

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。

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。

Now he worked in ajoint venture.

现在他在一家合资企业工作。

More troops in Afghanistan won't change any of the foregoing.

更多的在阿富汗的军队也不会改变之前的状况。