查询词典 optimization

In this dissertation, firstly, the theories and methods about chaos control and chaotic optimization are studied. Based above, some new approaches for chaos control and chaotic optimization are proposed. Furthermore, the application of chaotic optimization for test generation of combinational logic circuits is investigated in detail, and new methods for test generation are proposed based on chaotic optimization.

本论文在对混沌控制与混沌优化的相关理论和方法进行较为全面、系统的研究基础上，提出了一些新的混沌控制与混沌优化方法，并针对混沌优化与混沌神经网络在组合电路测试生成问题中的应用展开了详细研究，提出了基于混沌优化的组合电路测试生成方法，得到了有价值的成果。

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。

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。

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。

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。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。