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The first model is the optimization problems with s linear objective function subject to a system of fuzzy relation equations and a system of fuzzy relation inequalities, which are solved by using path method and 0-1 integer programming with branch and bound method.

第一种为约束为模糊关系方程和模糊关系不等式的具有线性目标函数的优化问题,采用路径法及0-1整数规划中的分枝定界法对其求解;第二种为约束为模糊关系方程和模糊关系不等式的格线性规划问题,采用直接法、路径法及0-1整数规划法对其求解;第三种为模糊关系不等式为模糊的,即约束中有一个可接受的容差,采用容差法及正负理想法对其求解;第四种是一种新的可能性模糊线性规划问题,采用模糊数大小比较法、"切片-粘贴"法及正负理想法,并设计了随机模拟的遗传算法对其求解;第五种为期望值模型,利用期望值将其转化为清晰约束系数的线性规划问题的方法。

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

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. MMA algorithm hasa bad convergence but it has a high computational efficiency, while GCMMA is excellent onconvergence and stability with bad calculation efficiency.

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

For a long time, it is a main factor to hamper the real-time application of SHET. The research is carried on aiming to quickening convergence speed. The automatic-changing Homotopy algorithm is proposed in the dissertation. The algorithm, which can change the solving method based on fundamental component, has the advantages of large convergence domain, high convergence rate and high precision. Many trigonometric functions are contained in the mathematical model, during solving equation, the calculated speed and the precision are affected by the calculations of trigonometric functions.

特定谐波消除技术的数学模型是一组非线性方程组,长期以来,方程的求解一直是限制该技术实时应用的关键因素,本文针对特定消谐方程组的快速求解进行细致的研究,提出自动变同伦算法,该算法可根据基波幅值的取值范围来决定采用的求解方法,其对求解方法的可选择性使该算法与其它算法相比具有计算速度快、收敛域宽、计算精度高等优点。

In this thesis, with the aid of the method of reconstructive direction cosine matrices of the analysis and synthesis of spatial mechanism, the more overall and systematic theoretical research is done about trident-bar universal joint and drawn some useful conclusions about kinematics analysis, dynamics analysis, kinematical precision analysis, vibration analysis, simulation and experimental results analysis, mechanism type selection analysis based method of fuzzy distinguishable pattern, integrated designing prototype system.

本文以改造的方向余弦矩阵为数学工具,以三叉式万向节为研究对象。进行了机构有关的解析求解、仿真和试验结果分析,基于模式识别技术的机构选型及机构的集成设计原型系统,得出了以下结论:(1)采用改造的方向余弦方法适用于空间机构的运动求解及动力求解。它的特点是解析明了,以矩阵方式体现,适合计算机求解。并以万向节为实例进行了万向节的详细的运动分析,建立了求解的各个变换矩阵,得出了机构的详细的运动关系。

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

Aiming at the problem that solution FEMequation set needs too much memory, segregated solotion methOd has beenadopted and for the first in China E l em ent- B y- E lement has been introduc edwhen solving flow field parameter equation sets. EBE technology need notassemble and store the global stiffness matrix, and minish effectively memoryrequires of solution equation set, moreover it has inherent high parallelity, andadvance equation solution.

针对求解流场有限元方程组占用计算机内存资源过多、限制求解规模的缺点,采用分离式求解法,在求解流场各参数方程时,在国内首次引入EBE技术,EBE技术不必组集和存储总刚矩阵,能有效地减小了方程组求解时对内存空间的要求,同时EBE技术具有内在的高度并行性,能有效提高方程组的求解速度。

In the CGE model, the paper introduces the CGE model and its application in the tax field, the framework for solution of CGE model, the calibration of CGE model, using GAMS to solve the CGE model with MCP and NLP arithmetic, also the paper use the Three sector data of the National Account to do some application.

在CGE模型方法研究中,介绍了CGE模型及其在税收收入预测中的应用和求解CGE模型的理论框架、应用GAMS求解CGE的简单回顾、CGE模型中的SAM、CGE模型的估计与校准、使用GAMS求解CGE模型、应用GAMS求解CGE模型的NLP方法、应用GAMS求解CGE模型的MCP算法等内容,同样也结合国民经济三部门的税收经济数据进行了简要的应用。

In the model solution method's choice, according to the mix integer model's characteristic, the paper proposed to divide the model solution into two parts. The linear segment used the transportation plan method to solve and the mis alignment part used the implicit enumeration to solve. Finally the paper proved the model's feasibility through the example to solve the location-selection for the distribution center and obtained the quite satisfactory the location-selection result.

建立了以区域配送中心总成本最小化为目标的一个混合整数选址模型;在模型求解方法的选择上,根据混合整数模型的特点,提出了将模型的求解分成两个部分:线性部分采用运输规划法求解,非线性部分采用隐枚举法求解;最后通过实例论证了模型对求解配送中心选址问题的可行性并得到了比较满意的选址结果。

A user interface for CPES-V language has been designed, which is a parallel expert system tool language V language is convenient for user, simple and clear in expression. It integrates blackboard discription, knowledge_source discription and problem solving model discription in one entity.

本文为CPES设计了一种使用方便、表达简洁的用户界面——V语言,V语言是一种并行专家系统工具语言,它集黑板问题求解过程中的黑板描述、知识源描述、问题求解模型描述为一体,大大缩短了用户使用黑板模型进行问题求解试验的周期,本文还讨论了使用V语言进行问题求解的一些具体问题,如任务分配问题、存贮容量分配问题、问题求解步骤等。

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