查询词典 optimization problem

Based on a great many literature, this paper analyzes and summarizes the genetic algorithm for the design of structural optimization. The basic conceptions and primary characteristics are introduced in this paper. This paper discuss some primary factor when genetic algorithm applied on optimal design, for example the mathematical model、the constrained problem、the initial population and the controls parameter of genetic algorithmAimed at the characteristic of structural optimization and finite-element analysis, this paper accomplishes the optimal program based on the simple genetic algorithm.

在广泛阅读文献和调研的基础上，本文对遗传算法及其在结构优化设计应用中的相关内容进行了分析和综合，对结构优化设计的基本概念、主要特点进行了介绍，对遗传算法应用于结构优化设计时的数学建模、约束条件处理、初始种群的产生及其遗传算法控制参数的选择几个关键因素作了概要的分析与研究。

In this dissertation, incorporating the level set algorithm, the gradient projection method, the nonlinear mapping technique, the return mapping algorithm and the mean curvature flow technique into topological optimization theory, a level set algorithm for topology optimization with multi-material structures is put forward, which can optimize a problem with general objective functions, multi-constraints, multi-materials and multi-load cases.

同时，又将拓扑导数理论和水平集算法结合起来，提出了结构拓扑优化的拓扑导数与水平集算法，进一步提高了计算效率。

The existence theorem of generalized weak efficient solutions with respect to variable, cone for a linear G〓teaux differentiable mapping is proved with set valued mapping fixed-point theorem and the relation between a vector optimization and a variational inequality problem. The existence of weak efficient solutions for multi-objective convex vector optimization is characterized.

建立映射在线性G〓teaux可微条件下关于可变锥的广义弱有效解的存在性及多目标凸向量优化问题在G〓teaux可微条件下弱有效解的特征，利用集值映射不动点定理及向量优化与变分不等式的关系证明线性G〓teaux可微锥凸映射关于可变锥的广义弱有效解的存在性定理。

In order to optimize tolerance values for an assembly system, a model for geometric dimension tolerance optimization was established and an algorithm for optimal tolerance design was proposed. The algorithm is divided into two stages: at the first stage, design centering problem is solved and statistical optimization for further lowing the cost is solved at the second stage.

为优化装配系统中公差链的公差值，建立了几何尺寸公差的优化模型，并提出公差的分层优化设计算法：第一层，解决设计公称值居中的优化问题；第二层，解决进一步降低成本的概率性优化问题。

In allusion to the NP complete problem of multi objective optimization of QoS routing, the purpose of this paper is to find the most optimum solution of the routing optimization in a sense of Grey fuzzy within multinominal time.

针对QoS路由多目标优化的NPC问题，希望在多项式时间内找到QoS路由多目标优化在灰色模糊意义下的最优解。

Thismethod can resolve the near-far problem, and make the system need lower request forthe power control. So we can utilize the uplink frequency spectrum resourcesefficiently and enlarge the system capacity saliently. In 1995, Eberhart and Kennedy reported that the particle swarm optimization algorithm was a parallel optimization.

粒子群优化算法是1995 年由美国的Eberhart 和Kennedy 提出的是一种高效的并行优化算法，简单容易实现同时又有深刻的智能背景，一经提出立刻引起了演化计算等领域的学者们的广泛关注，并在短短几年时间里出现大量的研究成果形成了一个研究热点。

The adaptability of arch dam to geology is more and more high, when the influence of complicated geology is considered, and the widespread used modern calculating methods in engineering, such as the finite element method, is considered during optimization design, the new challenge to old optimization design system of crown cantilever analysis is the full-automatic calculation problem of the different condition, different arch dam parameter, the possibility and the efficiency which were caused by the increments of calculation time.

高拱坝设计对地质条件的适应性要求越来越高，优化设计时要考虑到复杂地质条件的影响，最好采用已被工程界普遍接受的有限单元法等现代计算方法，这对以拱梁分载法为主的拱坝优化设计体系提出了新的挑战，除了需要解决不同条件、不同拱坝参数的全自动计算问题，还要解决由于结构计算时间增加所带来的优化计算的可行性和效率问题。

the effect of inertia weight on particle swarm optimization is studied,on basis of which adopts four kinds of strategies of inertia weight to regulate the speed of a new quantum delta potential well based particle swarm optimization.a faster and more stabile algorithm,found by comparing the performances of four equations regulated the inertia weight,solves 0/1 knapsack problem.the result of experiment shows that the modified algorithm improves the precision of optimal solution and has a faster speed and a higher efficiency in convergence.in a word,choosing a parameter of inertia weight suitably can improve the performance of new qdpso.

摘 要：在研究惯性权重对基本pso算法影响的基础上，根据惯性权重对粒子群算法影响的特点，采用4种惯性权重策略对一种新的具有量子行为的粒子群算法的速度进行调节，比较每种算法的性能，从中找到一种新的性能更好的改进算法，将其用于求解0-1背包问题。实验结果表明较好地选择惯性权重参数对算法的性能有很大提高，该改进算法在求解0-1背包问题中具有高效性，提高了最优解的精度，同时具有较快的收敛速度。

In the traditional neural networks based on gradient decline, nonlinear object functions with multiple extrema are easy to get stuck in the problem of local optimization solution. Therefore, a new method of chaos optimization neural network with weight learning is introduced in this paper.

针对传统的基于梯度下降法BP神经网络中存在非线性多极值目标函数易陷于局部最优解的问题，提出了一种权值学习混沌优化的神经网络方法。

To address routing planning of the delivery vehicle navigation in logistics, the article based on point-to-point model, improved the fundamental particle swarm optimization in the initial population, the method of population and evolutionary strategy for improvement, put forward the improved particle swarm optimization for vehicle routing point-to-point model problem of navigation in distribution, and verify the validity of the algorithm by simulation tests.

为解决物流配送车辆导航中的路径规划问题，文章以点对点模型为基础，对基本粒子群优化算法在初始种群的产生方法和种群的进化策略方面进行改进，提出适于配送车辆导航中路径规划点到点模型的改进型粒子群优化算法，并通过仿真试验验证算法的有效性。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新