The algorithm is of the isochronic and discrete dynamic programming.
该算法是一种等时性离散动态规划法。
Theauthor originally applied the thoughts of dynamic programming and raised rational shimming algorithm that is proved to be effective.
作者首次应用动态规划的思想，提出了更合理而快速简单的匀场算法，并在实用中，证实了算法的有效性。
Use dynamic programming algorithm for nucleic acid sequence of February 2 ratio on the source code.
利用动态规划算法进行核酸序列的两两比对的源代码。
Secondly, network control and radio resource management problems, such as routing, scheduling, and power control for single-channel wireless mesh networks are summarized. The system framework for single channel wireless mesh networks is modeled, including network architecture model, link interference model, tree-type routing model, as well as uplink and downlink traffic model. A maximal clique based fair downlink scheduling algorithm and a tree-type dynamic programming based uplink scheduling algorithm are proposed for the case of omni-directional antennas. A tree level based downlink scheduling algorithm and a buffer size and link condition based uplink scheduling algorithm are proposed for the case of directional antennas. Moreover, both iteration method based and game theory based distributed power control algorithms are proposed under condition of omni-directional antennas.
其次，概述了路由、调度和功控等单信道无线Mesh网络中网络控制与资源管理的关键问题；建立了包含网络结构模型、链路干扰模型和树形路由及上下行业务模型等在内的单信道无线Mesh网络系统模型：提出了全向天线下基于最大并发集的公平下行调度算法和基于树形动态规划方法的上行调度算法；提出了定向天线下基于树形分层方法的下行调度算法和基于缓存队列和信道条件的上行调度算法；提出了全向天线下基于迭代法和基于博弈论的分布式功率控制算法。
Dynamic programming algorithm and the ideological division in the algorithm design.
动态规划算法及分治的思想在算法设计中的应用。
A novel Parsimonious Genetic Programming algorithm for aero-engine starting process optimum data-driven nonlinear dynamic modeling was proposed.
提出了一种新的用于航空发动机最优化起动过程数据驱动动态建模的约简遗传规划算法。
The detail work, done in this paper, is listed as follows:(1) The four-phase model and the macro-control methods are studied. On comparing the two theories and combining the practice, the macro-control method is chosen as the foundation of the papers theory system.(2) The comprehensive fuzzy assessment method is developed. By combining it with LOWA (Linguistic Order Weighted Aggregation) operator, a new one. which is employed to produce the node important degree, is proposed in the paper.(3) Methods of the route connection and compounding in the road nets are carried out. Especially the dynamic programming method is studied. Simultaneously, its mathematic programming model is built and the relevant algorithm also given.(4) Freeway planning and evaluation for ZhanJiang city is analyzed, designed and developed. And, according to the economic, technology, environment, society and comprehensive evaluation results, the best route plan can be offered.
本文的具体工作有以下几个方面：(1)研究了四阶段模式法和总量控制法，并在比较的基础上，结合具体情况，选择了总量控制法作为论文研究理论体系的基础；(2)研究了模糊综合评判方法，并结合LOWA(Linguistic Order Weighted Aggregation)算子，提出了一种新的模糊综合评判方法，且把它应用在了节点重要度的生成中；(3)研究了路网中各条路段和线路联接、组合的方法，并重点研究了动态规划方法，建立了规划的数学模型，编写了相应的程序算法；(4)分析、设计、开发了湛江市环岛高速公路规划评价系统，并选择了经济、技术、社会、环境和综合评价的方法对路网方案进行优选。
After analyzing the characteristics of three typical vertex matching approaches for planar polygonal shapes, i. e., deformation minimization based matching approach, contour tangential variation based approach, and boundary segmentation based approach, a novel polygonal shape matching algorithm was developed based no an improved dynamic programming framework.
分析了3种有代表性的平面多边形顶点匹配算法的特点，即基于极小化形变功的匹配算法、基于轮郭绕行趋势变化的匹配算法和基于边界局部剖分的匹配算法，综合利用不同算法的优点，在修正动态规划框架下设计了一种新的匹配算法。
Event information is extracted from text and video, respectively, and then they are globally matched based on dynamic programming algorithm. For unmatched event information extracted from text, their corresponding event boundaries in video stream are estimated using a global probability model.
分别从文本和视频中提取事件信息，采用动态规划的算法对2种信息进行全局匹配，对于未匹配的文本事件信息，采用一个全局概率模型估计其在视频中的事件边界。
A dynamic programming algorithm was employed to detect the most notable curve from the points according to curve continuity. And an application to detect the Yellow River's mainstream line was demonstrated with multispectral image.
根据曲线连续性特征，采用动态规划算法寻求数据集中最显著的曲线特征，给出了在基于多光谱影像黄河主溜线检测中的应用实例。
Time dependent traveling salesman problem; Hamiltonian cycle; dynasearch algorithm; dynamic programming heuristics
时间依赖型旅行商问题；哈密顿圈；动态搜索算法；动态规划启发式
An instance of sustainable land use planning in Zigong region passing through time slicing 2010, 2015 and extending into 2020 shows that the genetic algorithm integrated in multi-objective fuzzy optimum dynamic programming is conductive to solve the multi-objective coordination by.
自贡市的实例表明，该方法有助于解决多目标协调问题，并通过提供多方案选择性，从而使规划更具灵活性，同时又便于充分吸纳公众参与，减少规划中的不确定性，增加规划的科学性、现实性和可操作性。
All the sub-plans are described by a group of general mathematic formulae. The computation of the sub- plan can be decomposed into two sub-problems by relaxing the constraint that production level at production period of a sub-plan must be more than zero. Based on the properties of an optimal solution, two polynomial algorithms are devised to solve sub-problems and reintegrate the relaxed constraint. Finally, a dynamic programming algorithm with complexity O(T^4) is developed to solve the global problem, where T is number of periods in planning horizon.
给出了所有子计划的通用数学描述，并通过松弛正生产量约束将子计划的计算分成两个子问题；依据子问题和子计划最优解的性质，设计了求解子问题和重新集结松弛约束的多项式算法；在此基础上提出了一个复杂性为O(T^4)的求解整个规划问题的多项式动态规划算法，这里T是规划时段上的周期数。
The robust performance problem of the standard DMC with serious model/plant mismatch is analyzed and studied firstly, and then for the plant with multi-model uncertainties, a novel improved robust DMC algorithm—Robust DMC Based on Multi-model weighted Optimization—is presented. The DMC is extended into four components: multi-model predictive, receding horizon multi-model-weighted optimization, feedback compensation and online selfregulation of the model weight factors. 2 The RDMC presented above is applied in the MCC techniques and the robust MCC algorithm and strategies are presented. Several core problem of the MCC, such as static economic optimization, blocked dynamic optimization, constraints handling, ideal resting value control of the manipulated variables, online reconstruction of the control sub-construction and static model self-tuning, are also discussed in detail. 3 The robust MPC algorithm with multi-model uncertainties in the state space is studied using LMI approaches. The RMPC with all kinds of constraints on input and output are rewritten in the form of the one of the standard LMI problems, Eigen Value Problem, i. e. the linear programming problem with LMIs. The LMI-based state feedback predictive control law is given on the infinite and finite horizon control respectively. 4 The software and hardware frameworks of the MCC system are showed exactly. The softinterface problem between ONSPEC and MCC was proposed and realized. A classical design scheme is given. 5 The application of the MCC on the large scale FCCU is introduced, and the unit running status and the economic profits before and after the item is applied are analyzed and compared. In the all studies of the above algorithms, a great number of the simulation examples with practical engineering significance are given to illustrate the efficiency of the related algorithms.
本文的主要贡献有：(1)分析、研究了动态矩阵控制算法在模型严重失配情形下的性能鲁棒性问题，然后针对多模型不确定性对象，提出了一种改进的鲁棒DMC算法——基于多模型加权优化的鲁棒DMC算法，将DMC算法扩展为多模型预测、滚动加权优化、反馈校正、模型加权因子在线校正等四个组成部分；(2)将基于多模型加权优化的RDMC应用到多变量约束控制技术之中，提出了鲁棒多变量约束控制策略及算法，详细讨论了基于组合优化技术的RMCC所涉及的一些核心问题，如稳态经济优化、分块动态优化、约束处理、操纵变量理想静态值控制、控制子结构的在线重构、稳态模型校正等；(3)用线性矩阵不等式方法较系统地研究了状态空间模型描述下的多模型不确定性系统的鲁棒模型预测控制算法，将各种输入输出约束情形下的RMPC问题转化为LMI的标准问题之一：特征值问题，即带有LMI约束的线性规划问题，给出了基于LMI的无限控制时域和有限控制时域状态反馈预测控制率；(4)阐述了MCC系统的软硬件系统结构，提出并解决了MCC与ONSPEC工控平台的软件接口问题，并以此为基础给出了一个典型的MCC设计方案；(5)介绍了MCC在大型催化裂化装置中的应用，分析和比较了项目投运前后的装置运行状况和经济效益；每一算法研究中，都用大量的具有实际意义的仿真实例对所提出和研究的算法进行验证，比较了各种算法和策略的优劣，提出了最为合理的方案选择。
Finally, with the Greedy algorithm and the Dijkstra takes a comparison from it to seek dynamic programming has the characteristic of level somewhat more deep.
最后将动态规划和贪心法、Dijkstra算法作了比较，从中探寻动态规划的一些更深层次的特点。
New processing courses algorithm is introduced based on dynamic programming and precedence algorithm.
在分析排课问题和研究相关算法的基础上，提出了一种基于动态规划和优先级算法的新课程调度算法PCA。
Processing courses problem and relevant algorithm are studied. New processing courses algorithm is introduced based on dynamic programming and precedence algorithm.
在分析排课问题和研究相关算法的基础上，提出了一种基于动态规划和优先级算法的新课程调度算法PCA。
A programming examples: the optimum algorithm, and realize the dynamic dispatch memory and recovery of storage space.
详细说明：一个编程实例：采用最佳适应算法，实现动态分派内存及回收存储空间。
Using a dynamic programming algorithm to achieve.
用的是动态规划算法来实现的。
Is a dynamic programming algorithm on the information is worthy of us to take a good look.
详细说明：是关于动态规划的算法资料，是值得我们去好好的研究。