查询词典 optimization

The DFP method is proved a officient one in processing unconstrainted optimization problem, so in this thesis, used the idea of mechanical structural optimization for reference analytically and extended modified formula of DFP—matrix to shape optimiation the DFP—Hamilton function method is put forward.

由于变尺度方法是有效的无约束优化方法，本文在分析的基础上借鉴了机械结构参数优化的思想，并将变尺度矩阵的修正公式扩展至形状优化中去，进而提出了变尺度—H函数极值法，并用其解决了梁、柱和复杂曲面的形状优化设计问题，取得了较好的效果。

The applied result shows that the new PP regression model based on particle swarm optimization and Hermite polynomial fitting is simple in use, fast in computation and effective in optimization. This algorithm may serve as a useful tool in synthetic earthquake prediction study.

通过计算和分析表明，基于粒子群优化算法与厄米多项式构建的投影寻踪回归模型具有简单、快速、有效的特点，在实际地震综合预测建模中取得了满意的效果，可作为地震预测的一种综合分析方法。

This thesis comprises the following: 1 With regard to the shape optimization of car body of flat which is used to load the container, this thesis uses the module HYPERMORPH of software HYPERMESH , manipulates domain and handle and controls the gridding distortion. Get the good gridding quality and make the preparation for the further shape optimization.

针对本论文关于集装箱平车车体的形状优化问题，利用HYPERMESH中的HYPERMORPH模块，通过对"域"和"柄"的操作来控制网格形状的改变，以解决网格畸形问题，得到较好的网格质量，为进一步的形状优化做好准备。

Based on the integration function and optimization function of platform ISIGHT The software ANSYS is integrated as FEA tool and HYPERMORPH module of HYPERMESH is integrated as controlling the change of shape, size and shape optimization is done to the body of container plat vehicle, at last minimum weight of body is achieved.

利用ISIGHT集成优化功能集成强度刚度分析仿真程序ANSYS和HYPERMESH的形状变形模块HYPERMORPH，对集装箱平车车体进行尺寸及部分形状优化，实现车体的轻量化设计。

According to the requirement of power supply company, the authors propose a concept of weekly market by which the impact of price elasticity matrix of demand side on power purchase decision-making under time-of-use price is led into the optimization of power supply company's power purchase from weekly market, and a multi-objective stochastic optimization model for power purchase from weekly market in which the price elasticity matrix of demand side and risk are considered.

根据供电公司购售电业务的工作需要提出了周市场的概念，首次将分时电价下需求侧电量电价弹性矩阵对购电决策的影响引入供电公司周市场购电优化中，并建立了计及需求侧E矩阵与风险的周市场购电多目标随机优化模型。

Because the genetic algorithms could search the optimization of objective function randomly, which via the evolution of groups, our work is based on the embedding/detecting way of "DWT-Based Audio Watermarking Using Support Vector Regression and Subsampling". And this method provides a preliminary discussion on the application of GA, which searching the individual with the highest fitness of attack-resistance in the aggregate of the optimal embedding strength. As an optimization solution of obtaining the optimal embedding strength, it could achieve an adaptive policy, and find a reasonable balance between the robustness and inaudibility of the watermark, just for the better robustness and inaudibility in the algorithm.

遗传算法是通过群体进化来随机搜索目标函数的最优化问题，对于前述基于支持向量回归机的小波域数字音频盲水印算法，进一步地探讨采用遗传算在嵌入强度集合中搜索对抗攻击能力适应度较高的个体，从而得到最佳嵌入强度的一个优化方案，以实现自适应策略，也使本算法能在水印的鲁棒性和不可感知性之间寻找到合理的平衡点，从而具有更良好透明性和鲁棒性。

Multiobjective optimization problem has a wide range of applications in the real world. It is different from the single objective optimization. It often involves incommensurable and competing objectives, and the number of its Pareto optimal solutions is usually infinite. Therefore, it is very important to design new algorithms which can find well distributed and close-to-Pareto-optimal solutions.

在现实世界中很多问题都是多目标优化问题，不同于单目标优化，在多目标优化中，各目标之间是互相冲突的，其最优解往往有无穷多个，如何使得到的Pareto最优曲面距离真正的Pareto最优曲面最近、最优解的分布均匀且范围更广是求解多目标优化问题的关键。

Finally, it analyses the time complexity of the algorithm and researches how it is influenced by culture operator.3、The paper presents the evaluation standard of the GA's application capability. Basing on characters such as continuity, multi-peak, vibration, randomicity as well as large-scale, five functions are selected to test search ability and robustcity of co-evolution algorithm. Finally, it analyses the simulation result and researches the influence of algorithm brought by culture operators.4、Basing on the concept of collection overcast, it researches the task distribution issue and constitutes delaminated math model on task distribution issue. It puts out the co-evolution algorithm of subtask's decomposing. The experiment compare IGA、SGA to CN and validates the efficiency of co-evolution algorithm on the NP completeness issue.5、Being aim at the optimization issue of load of antenna near ground, it combines many GA strategies and puts forward strategic meme. And it puts out co-evolution algorithm of load of antenna design. And it emulates the optimization design of load of antenna near ground. Finally, it valuates the co-evolution algorithm's efficiency on the continuum search issues of multi-variable and multi-peak value.6、Being aiming at the knowledge of image model matching, it adopts single meme and real code. It puts out fast co-evolution matching algorithm strategy. Basing on NPROD resemble measurement, I emulate the indiscrimination model matching and discrimination model matching. Finally, it valuates the co-evolution algorithm's efficiency on the real code and real time search issue.

分析了算法的时间复杂度，研究了文化算子对算法时间复杂度的影响。3、提出了GA的应用性能评价标准，从连续性、多峰性、随机性、振荡性、广域性多个角度出发选择五个测试函数，对共同进化算法的搜索性能和鲁棒性作了函数优化的性能测试，分析了仿真结果，研究了文化算子对算法的影响。4、基于集覆盖的概念，研究了MAS中的任务分配问题，建立了任务分配问题的分层数学模型，给出了子任务分解共同进化算法，实验比较了IGA、SGA、CN，验证了共同进化算法对NP完全问题的有效性。5、针对近地天线加载优化设计问题，结合多种改进GA策略，提出了策略型拟子，给出天线加载设计的共同进化算法，对有耗半空间对称偶极子天线加载优化设计作了仿真实验，验证了共同进化算法对多变量多峰连续搜索问题上的有效性。6、针对图像模板匹配问题的领域知识，采用单类拟子和实数编码，给出快速共同进化匹配算法策略，基于NPROD相似度测度，仿真试验了无差别和有差别模板匹配，验证了共同进化算法对实数编码和实时性搜索问题上的有效性。

In order to real-time decoding, the thesis made the most of the processor's resource, and did some work including code optimization, instruction optimization and so on.

为了实现实时解码的功能，本文充分利用处理器提供的资源，进行了一系列代码优化，指令优化等工作。

Introduce optimization modeling and solution techniques including linear, non-linear, integer, and network optimization, and heuristic methods

介绍最优化模型与求解的技巧（包含线性、非线性、整数、网络最优化与启发式算法

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。