基于混合蚁群算法的粮食物流中心选址优化

粮食物流中心是粮食物流系统的枢纽,粮食物流中心地址的确定是粮食物流系统分析的核心内容.根据粮食物流中心选址问题的特点和要求,在运输成本最低的基础上,构造了选址问题的数学模型,并且针对该模型引入一种混合蚁群算法,将遗传算法与蚂蚁聚类算法融合,采用遗传算法生成信息素分布,利用蚂蚁聚类算法求精确解.从而有效地避免算法的早熟现象,可防止其很快收敛到局部最优解,实例求解表明,该算法可以有效、快速地求得粮食物流中心选址问题的全局最优解.     

Algorithm Discussion of High Precision for Wireless User Location

In recent years , because of increasing mobile users ,the wireless location and business is the most attractive business in the world , accurate location information to users has become one of criterion business for mobile communication ,so a discussed deeply wireless location technology is very value. This paper discusses it from high accuracy algorithm for wireless location on the network , by the emulation and comparison, it has shown that there are different algorithms in different surroundings for arriving at satisfied precision     

基于双模定位的冷链物流实时监测系统

为加强冷链物流监管,实现冷链物流的全程温度和定位监测,设计了基于双模定位的冷链物流实时监测系统。本系统除了集成嵌入式技术、卫星定位技术和GPRS无线通信技术等以实现温度采集、数据远程传输和定位等功能,还使用融合数据的双模定位取代单GPS定位以提高复杂环境下的定位精度,并提出使用改进的扩展卡尔曼滤波算法进行定位解算以实现双系统下定位数据融合,在静态时对水平精度和三维精度分别提高了37.5%和28.6%。测试结果表明,本系统提高了冷链物流监测能力,为未来研究冷链无人配送的定位问题提供基础。     

Improved Sage-Husa algorithm and its application in industrial online measurement

An improved Sage-Husa adaptive filter algorithm is proposed based on the existing methodologies in light of the complex and changing environment of the industrial online measurement. This algorithm,after a new observed value is obtained,first judges whether the filter is in a normal state by the filtering divergence criterion,if not,it judges whether the new observed value is an outlier and takes countermeasures varying with the judgment so as to improve the performance of the Sage-Husa algorithm in industrial measurement. The result indicates that compared with traditional methodologies,this new algorithm is applicable to measure the location of the center point of laser beam in a simulated industrial environment,makes accurate judgment about the system status,features better precision,practicality and robustness and thus can satisfy the requirements of industrial online measurement.     

A RELIABILTY CAPACITY OPTIMIZATION ALGORITHM FOR STOCHASTIC FLOW NETWORKS

A model and a heuristic algorithm for reliabilty op timi zation in generalized stochastic flow networks are proposed in this paper. The stochastic characteristic of the demands at terminal nodes is considered in the model. The algorithm proposed is powerful and can be applied to optimal planning of transmission capacity for large scale stochastic flow networks, because it can facilitate a fast location of optimal capacity expansion from the information obtained by the last iteration by making full use of the relationships of the k-weak link set and failure events set to the paramsters in generalized stochastic flow networks     

The Location Algorithm of QRS Waves Based on Fractal Box Dimensions Detection Methods

We research fractal characteristics of ECG signal, and find that it is logarithmic linear relationship between the boxes number covering signal and box scale. It is shown that ECG signal have some characteristics. Further more, we discover that fractal dimensions at QRS site are higher than others when using a time windows to detect signal. Based on this foundation, we raise a location algorithm of QRS waves which is based on fractal boxes dimension detection methods. The application results of this algorithm show that it can get rid of noise in ECG effectively with high speed, so this algorithm can be used in real time detection of ECG signal.     

Accurate measurement for objects space attitude based on planar target

On the basis of studying the accurately identification algorithm of planar target and transformation model of the space vector, the imaging target models and spatial attitude measurement models are established. Then, a new topological positioning method is put forward. Finally, the four-wheel location measurement is given as an example. The results demonstrate that the method has better anti-interference and higher measurement precision, which provides a feasible method for a machine vision measurement system by using the plane target.     

谱聚类在给水管网分区优化中的应用

利用图划分技术和图论算法实现给水管网分区。根据给水管网分析,确定分区数量,建立权重邻接矩阵并计算图拉普拉斯矩阵及其特征向量,通过多路图划分对隐藏在特征向量中的聚类信息进行数据挖掘,采用遗传算法和K均值方法实现最佳节点聚类。利用PageRank和最短路径算法确定水表和阀门位置,最终实现给水管网优化分区。实际给水管网模型分区实例表明所提方法在给水管网分区的有效性。     

Application of Improved Multi-population Genetic Algorithm to Damage Identification of Soil-wall System

The method of damage identification in soil-wall system was studied; a new approach based on improved multi-population genetic algorithm (IMGA) was developed. First, the simplified dynamic-detection model of soil-wall system was established, meanwhile, the theoretical analysis of characteristic equations in soil-wall system was conducted when soil in damage status. The objective function based on characteristic equations was established. Then, the improvements of multi-population genetic algorithm, including the adoption of real-valued representation, adaptive cross operator and adaptive mutation operator, were conducted. Finally, the localization and quantification of the soil-wall system damage were performed by IMGA with and without the consideration of noise, respectively. The results indicate that damage location and damage extent can be detected efficiently, and anti-noise performance is better.     

Adaptive neighborhood method & GA for solving the vacancy route optimization of machining

The mathematical model of vacancy course path optimization of laser machining is built and changed to the travelling salesman problem (TSP). The Nearest Neighbor (NN) is modified to Adaptive Neighborhood Method (ANM). In ANM one mimics the traveller whose rule of thumb is not always to go next to the nearest as yet unvisited location. The next city is randomly selected from the unvisited cities in adaptive neighborhood. While solving the TSP, ANM is used to create the initial population at first, then iterations are done through selection, cross and mutation operation. In selection, the proposed algorithm only keep 90% samples from the previous generation, the remained agents are supplied by the new sample created by ANM. The results show that the algorithm shortens vacancy course in laser machining and the manufacturing efficiency is improved.     

Human Face Location Based on Motion Information in a Complex Background

This paper proposes an improvement for the traditional Optical Algorithm, and presents a new way to image segmentation in a complex background. In addition, combined with the neural network, the system can locate the possible human faces successfully by means of two-step location model. In our system, the searching and locating of the human face is the most important stage. According to this, the authors adopt the two-step way to run, firstly they take up the segmentation of the candidate human face areas and then the accurate face locating based on the neural network is used. This algorithm is fast and robust. Experimental results with real scene images are given out there, and all these prove that two-step method gains many advantages in the course of human face location with motion information, such as real-time, robustness and practicality. In addition, the proposed system is also the fundamental and important part of the perfect human face recognition system.     

Approach for Calculating Short Circuit on Transrmission Lines by Using Piece-wise Method with Structure Network Fault

Based on the properties of linear network,a new generalized diakoptical modeland its algorithm are presented in the paper to calculate short circuit at the arbitrary location on anytransmission line of large-scale power systems,in which the proposed techniques of transferring faultport current,and modifying nodal current sources and column impedence elements, are appliedcomprekensively. The method given here is espocially efficient to calculate short circuit in piece-wisemethod for any mutually coupled cuts between subdivisions in the system with constant or variablestructures. And it is an important improvement for short-circuit current calculation.     

基于物候特征参数的橡胶树种植信息遥感提取研究?

为了更好地监测橡胶树的生长状态,客观准确地获取橡胶树的种植的地理位置信息,采用非对称高斯函数对海南岛内MODIS EVI时间序列数据进行滤波处理,定义作物物候特征参数并计算海南岛每个像元的特征参数值;统计分析基于MODIS EVI数据的海南岛橡胶树样区作物关键物候特征参数值变化规律;根据橡胶树样区特征参数值变化规律建立海南岛橡胶树种植信息提取算法,提取结果采用不同比例的橡胶树混合像元分类法表示。根据提取算法对海南岛2011年橡胶树种植信息进行提取,用验证数据对该提取算法进行精度检验与实用性评价,检验结果显示该算法的平均分类精度达85.97%,可以用来提取橡胶树种植信息。     

Neighbour field method for population initialization of TSP

It is sensitive to the initial population while the genetic algorithm (GA) is used to solve the traveling salesman problem (TSP). To overcome this problem, the neighbour field method is presented to create initial population. In this method the next city is not the nearest as yet unvisited location but randomly selected from the unvisited cities in neighbour field. Neighbour filed method can extract the local optimal information of adjacent cities, and the constructed population has the diversity character. Comparing to the random initial method, the mean value obtained by the neighbour field method in four standard test instances of TSPLIB improved by 46.3%. The simulation results show the effectiveness of the neighbour field method for creating the initial population.     

从输电阻塞角度建立的风电场容量可信度模型

风电并网时既要考虑系统的可靠性又要考虑输电阻塞。目前风电场容量可信度仅从可靠性单一角度提出。为此从输电阻塞角度提出了风电场容量可信度的定义;通过Monte Carlo法建立计及元件故障(发电机、线路和变压器)的风电场容量可信度模型,并提出该模型的二分法求解算法;同时还提出了风电阻塞指标以描述风电场并入电力系统对缓解系统输电阻塞的贡献。通过对修改的IEEE-RTS进行算例分析,验证了方法的正确性和实用性。结果表明：系统阻塞状况的缓解程度与并入风电场的位置有关,风电场容量可信度和风电阻塞指标相结合可以评价风电场并网对系统阻塞状况改善的有效性和经济性。     

Decision Model for Location Selection of the Resident Project

Started with studying the evaluation standard, which are influencing the decision for location selection of the resident project, this paper set up a decision model for the location selection. It confirmeds evaluation rule of the location selection according to the characteristic of the resident project and selects all the location by fuzzy mathematic and AHP. After this selection, AHP is used again to taxis all the suitable location to build in the most suitable place. This model is provided with a scientific and rational decision result in the location selection for companies of the real estate.     

Evaluating the Importance of Business Location Factors: The Influence of Facility Type

This study examines two important issues concerning the evaluation of business location factors. First, in contrast to many analyses that seek to determine the influence of a single factor or set of factors on site selection, this study aims to measure the relative importance of a wide range of factors. Second, it investigates the extent to which the perceived importance of a given location factor varies based on the type of facility in question. While there is a substantial amount of research devoted to identifying industry‐specific location factors, little is known about the influence that facility type has on the assessment of location criteria. Drawing on original survey data collected from real estate professionals in the U.S., we found significant differences in the mean ratings for more than half of the 39 location factors on the basis of facility type. In particular, “corporate/office” respondents were significantly more likely than “manufacturing” or “retail” respondents to assign higher ratings to “quality‐of‐life” location factors, such as crime rates, amenities, housing, and schools. We discuss the implications of these findings for future research on location theory.     

标记辅助选择育种中QTL基因型的多点联合推断

传统的育种方法对数量性状的选择存在很大难度,现代分子标记技术为实现控制数量性状基因的准确选择提供了有效的技术手段。目前分子标记辅助选择实践仅是对标记基因型的选择,而非直接对QTL基因型进行选择。尽管标记基因型容易获得,但标记基因型通常并非QTL基因型,除非有关的QTL恰巧在标记座位。因此,如何鉴别QTL的基因型成为分子标记辅助选择的关键。QTL基因型通常需要通过分子标记基因型进行推断,由于标记信息的不完全或缺失,使得对个体QTL基因型的鉴别会发生困难。本文在四向杂交设计的基础上,结合贝叶斯理论和马尔可夫链原理,提出一种通用的QTL基因型多点联合推断方法,该方法能够很方便地处理显性标记和缺失标记,同时结合标记信息和表型数据联合推断QTL基因型的条件概率。模拟研究发现,表型数据选择的效果较差,其选择的个体QTL基因型基本上都是错误的,而应用本文所论述的方法,将表型数据与标记数据相结合选择,对QTL基因型的判断正确,且推断的把握性很高。     

Influence of Location and Form of HE-charges on the Air Blast Pressure Inside the Tunnel

In order to understand clearly to the influence of location and form of HE-charges on the air blast pressure inside the tunnel, based on Hopkinson scaling law, attenuation of air blast peak pressures in long tunnels due to HE-detonations in the case of different location and form at the tunnel entrance is simulated with the dynamic finite element software of LS-DYNA. The results are compared with other experimental methods. The results indicate that the influence of location and form of HE-charges is significant near the HE-charges. As the distance from the HE-charges larger and larger, the influence of location of HE-charges is smaller and smaller, but the influence of form of HE-charges is larger and larger. The methods and data presented can be refereed in similar engineering and determination of loadings upon protective doors.