查询词典 optimization program

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

An integer coded hybrid particle swarm optimization algorithm which incorporates the crossover and mutation operators of Genetic Algorithm with basic particle swarm optimization is proposed to solve the model, and a C ++ code is programmed.

同时提出基本粒子群优化算法与遗传算法交叉、变异算子相结合的整数编码的混合粒子群优化算法来求解该选址模型，并编制了相应的C++程序。

During the investigation, the optimization of infinitesimal information granularity is first solved to determine the low bound of the minimal power, and then the optimization of integer bit is solved, resulting in a fast integer bit-loading algorithm.

首先对无限小信息粒度的最优化问题进行分析，确定最小功率的下界。在此基础上再对整数比特的最优化问题进行求解，由此得到了一种快速的整数比特加载算法。

It proposed the method of adjustment and optimization of the peripheral truss net surface integrating distance weighted factor and the genetic algorithm based on-orbit thermal environment for the first time, Optimization adjustment simulation of the net surface has been carried based on-orbit thermal environment for the large deployable antenna.The research of thermal analysis technology in this article would provide more scientific foundation for thermal design of antenna on satellite, it would greatly improved thermal design level for satellite antenna of our country, the thermal optimize design which were based on those would effective reduce the costs of test.

本文所完成的热分析技术的研究能够为星载天线的热设计提供更科学的依据，可大大提高我国星载天线热分析的水平，以此为基础的热优化设计可以有效的减少试验费用。

The high speed advantage of FPGA's operation is made hard to demonstrate for the inconsequence in structural arrangement. The pipeline technology had well solved this problem. We presents a new pipeline optimization technology of inventer's control system based on FPGA,and completed the optimization design of the inventer controller. Analyzed the design process in detail and offered a kind of thought for the people who devoted to FPGA's application in power electronic field.

分析了"流水线操作"等设计优化问题，并针对逆变器控制系统中，控制系统算法呈多层结构，且层与层之间还有数据流联系，其执行顺序和数据流的走向较为复杂，不利于直接采用流水线技术进行设计的特点，提出一种全新的"分层多级流水线"设计技术，有效地解决了复杂控制系统的流水线优化设计问题。

Modifications to the conventional layer by layer optimization method make it possible to avoid computing Hessian Matrix and its inverse form, thus it can decrease computational complexity dramatically. Simulation results for some practical problems such as function approximation and XOR problem, have demonstrated improvements over classical back-propagation algorithm and conventional layer by layer optimization algorithm.

本文在传统逐层优化算法上的改进避免了反复计算 Hessian 矩阵及其逆矩阵，因而可以减少计算量，对一些应用问题，如函数逼近、异或等问题的仿真实验证实了新的算法比经典的 BP 算法以及现存的逐层优化算法的训练速度更快、可靠性更好。

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。