算法的

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。

Based on forecasting model, five algorithms are presented, that is, 1 algorithm for free motion of the plant when the analytical solution is available, 2 numerical differentiation algorithm, 3 improved numerical differentiation algorithm, 4 sensitivity matrix algorithm and 5 reference integral curve method.

推导了具有预测模型的算法的形成过程，指出了这种算法的物理实质，给出了基于预测模型算法的五种具体算法：1、系统自由运动有解析解时的算法；2、数值微分算法；3、改进的数值微分算法；4、灵敏度矩阵算法；5、基准积分曲线方法。

The paper proposes an algorithm based on the combination of Ant Colony Optimization and Particle Swarm Optimization for path planning.The new algorithm combines the advantages of ACO and PSO effectively and generates the distribution of the initial information for ACO by using the merits of high efficiency and concision of PSO,and then uses the advantages of parallelizability,positive feedback and solution with high accuracy of ACO to get global optimum solution.

提出了一种基于蚁群粒子群算法融合的机器人全局路径规划算法，该方法有效地结合了蚁群算法和粒子群算法的优点，利用粒子群算法的快速简洁等特点得到蚁群算法初始信息素分布；然后利用蚁群算法的并行性、正反馈性、求解精度高等优点，求得全局最优解。

Firstly, the mapping of high level programming language to hardware description language is described, some principles of the conversion of algorithm to state machine are also proposed; Secondly, the basic raster graphics algorithms for drawing 2D primitives are introduced, including self-adaptive algorithm of singl...

首先讨论了高级语言描述到硬件描述语言的映射，提出了算法到算法状态机抽象的规律；然后，介绍了现有的基本图形生成算法，包括直线的自适应算法、三角形边相关扫描算法，宽直线线刷子算法及改进的圆形、椭圆的生成算法，同时讨论了加速算法的研究现状；接下来具体讨论了基本图形的硬件实现，给出了各算法的状态机流程图、接口定义和实现框架，并且从理论角度给出了二次曲线加速算法的证明；最后采用EDA工具对VHDL程序进行仿真、综合并实现。

On this basis, according to historical data, apply ANN and differential simulation method to get the quantitatively correlative relations between each production and its own influence factors, and introduce the new methods of prediction for dynamic indexes with gas-field development (The combinatorial prediction method based on fuzzy comprehensive evaluation, the method of ANN to select optimally combinatorial prediction models and the ANN prediction method based on genetic algorithm).(2) Base on mathematical programming, combine with quantitative economics and techno-economics, introduce economical indexes to establish production"s distribution optimal model, production"s constitution optimal model and measured production"s constitution optimal model, including multi-objective models and five-years models. Upon this, the optimal project for all gas field and each gas-collected factory can be got. Also, introduce the time value of capitals to improve on these models.(3) Base on the optimal solution theory and algorithm theory for the nonlinear programming problem, introduce the SUMT algorithm and genetic algorithm to study how to solve the models, and on the basis of normal genetic algorithm, make use of auto-adaptively modulating method to improve on normal genetic algorithm; Base on algorithm"s convergence theory and calculation"s complexity theory to analyze seriatim SUMT algorithm"s convergence and genetic algorithms convergence, and compare performance with each other.

在此基础上，利用神经网络方法和微分模拟方法根据历史数据得到各分项产量与其影响因素之间的定量关联关系，并引入气田开发动态指标新的预测方法(基于模糊综合评判的组合预测方法、神经网络优选组合预测模型预测方法以及基于遗传优化的神经网络预测方法)；(2)以数学规划为基础，结合数量经济学和技术经济学，引入经济指标建立产量分配优化模型、产量构成优化模型、措施产量构成优化模型、气田开发多目标规划模型以及五年规划模型，进而获得全气田及各采气厂的最优方案，并引入资金时间价值对五年规划模型进行改进；(3)以非线性规划问题的最优解及算法理论为基础，引入SUMT算法以及遗传算法对模型的求解进行研究，并在原有的遗传算法基础上，引入自适应调整方法对遗传算法进行改进；以算法的收敛性理论和计算复杂性理论为基础，逐一分析SUMT算法以及遗传算法的收敛性，并比较三种算法的优劣性。

Due to existing signal processing technology's shortage such aslow measurement, narrow measurement range precision and other poor performance, we introduced a high-precise signal processing technology:firstly,to get power spectrum with Hanning windowed Welch modified periodogram, search its peak value frequency;secondly, to apply zooming analysis via Goertzel algorithm;at last,to get a highly precise doppler frequency with energy centrobaric rectifying algorithm.

针对存在的缺点，本文提出了一种应用于激光多普勒测速的高精度信号处理技术，即首先利用加Hanning窗的Welch修正周期图算法得到信号功率谱，搜索其谱峰值频率，接着利用Goertzel频谱细化算法对搜索的谱峰进行细化分析，再引入能量重心频谱校正算法对细化后的谱峰进行校正分析，从而将离散频谱分析算法、频谱细化算法和频谱校正算法三者有机结合起来，充分发挥各自的优点：通过加Hanning窗的Welch修正周期图算法快速得到功率谱及峰值频率，通过Goertzel算法获得分析频带的高分辨率频谱，然后通过能量重心校正算法对细化后的频谱进行高精度校正，这样不仅保证了算法的高效性，而且大大提高了分析的精度。

The basic principle and algorithm of Q-learning and related developed algorithms including Q and SARSA is studied. We distinguished between two types of RL algorithms: on-policy and off-policy, and the convergence result of SARSA(0) algorithm was discussed.

研究了Q-学习的基本原理、算法和相关的几种改进算法，如Q算法和SARSA算法；区分了两类强化学习算法：在策略和离策略算法；讨论了SARSA(0)算法的收敛性。

The main works and contributions of this dissertation include:(1) The current developments of NoC in both academia and industry are thoroughly investigated with the formal descriptions of NoC interconnection emphasis. Furthermore, Steiner tree problem and its algorithms in graph theory and VLSI placement and routing are analyzed. These algorithms include Lee's mazing algorithm, line search algorithm, ACO algorithm and construction-by-correction algorithm. They are implemented by programming them in C++ for performance comparison purpose.

本文的主要工作与成果包括：（1）调研了NoC结构在学术界及业界的研究发展状况，归纳了NoC互连算法的抽象描述形式；深入分析了Steiner树问题和已有的图论及VLSI布局布线中的RSMT算法，包括迷宫算法、线搜索算法、蚁群优化算法、模拟退火算法和构造-修正算法等，并编程实现了这些算法，分析了它们的优点与不足。

Analyses and expatiate on the theory of MWM algorithm, which is Snorts default multi-pattern matching algorithm.

论文对几个经典的模式匹配算法的原理进行了分析研究，包括单模式匹配算法BM算法，多模式匹配算法AC算法和WM算法以及Snort系统默认使用的MWM算法。

The most essential part of the dissertation is the study on classic ID3 algorithm and Apriori algorithm. The main works are listed as follows:①The detailed theoretical background of ID3 algorithm is introduced, and based on the treeing rules. The decision tree is obtained through the practical learning of this algorithm.

本文重点对决策树方法的经典算法ID3算法和关联规则经典算法Apriori算法进行了研究，完成的主要工作如下：①在决策树方面详细介绍了经典算法ID3算法的理论背景，并按照建树的规则，通过实例使用ID3算法学习得到一棵决策树。

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。