基于CBR应急保障物流体智能决策支持系统研究

在对应急决策和应急保障物流体分析的基础上,应用基于案例推理技术和智能决策方法构建了应急保障物流体智能决策支持系统,讨论了系统的工作原理及体系结构,重点分析了系统的案例推理机制和关键技术,从而为应急状态下的物流保障决策和原形系统的开发提供了理论支撑。     

基于层次分析法的电网企业突发事件应急能力评估

为评估电网企业对突发事件的应急能力，本文提出了一种基于层次分析法的电网企业突发事件应急能力评价模型。该模型通过中国南方电网公司构建的电网企业应急管理能力指标体系，引入层次分析法来确定指标权重，通过各指标所发生的事件频率与各指标权重系数的加权计算，得到不同电网企业对于突发事件的应急能力评价结果。以贵州各市供电局为例，对其进行实例计算和评价。其评价结果表明，评价得出的各区域的应急能力值与实际情况相符，所建立的电网企业对于突发事件的应急能力评价模型是有效的。     

空港型国家物流枢纽应急疏散能力建模分析

对物流枢纽应急疏散能力进行分析时,没有对空港型国家物流枢纽中发生风险事故的严重性和可能性进行度量,导致分析效率低和精准度低的问题.进行空港型国家物流枢纽应急疏散能力建模分析,采用Pathfinder疏散仿真软件分析人员在空港型国家物流枢纽中的相关移动规则和时间,根据分析结果构建空港型国家物流枢纽应急疏散模型;在引导系统、疏散设施和疏散管理三个方面建立应急疏散能力评价指标体系,采用集值统计方法在空港型国家物流枢纽应急疏散模型的基础上构建疏散能力评价模型,根据疏散能力评价模型实现空港型国家物流枢纽应急疏散能力的建模分析.仿真结果表明,所提方法的分析效率和分析精准度较高.     

地震灾害下应急物流系统绩效评价

针对地震灾害下应急物流系统(ELS)绩效评价的问题,以地震灾害下的应急物流系统为研究对象,首先建立了ELS运作模型,并对该运作模型进行了分析;然后构建了地震灾害下应急物流系统绩效评价指标体系,并在上述基础上建立了基于BP神经网络的评价模型;最后将该评价方法应用于实例,验证了该评价方法的科学性和实用性。     

基于相对信息熵和语言加权算子的网络舆情突发事件模糊多指标应急决策方法

在仔细分析网络舆情突发事件的成因与应急决策特性的基础上,从舆情状态、突发事件本身和民众关注3方面构建 网络舆情突发事件的属性指标。考虑到网络舆情突发事件指标的语言不确定性和多样性,以及应急专家对舆情事件危机评价的语言判断矩阵差异性,本文提出一个基于相对信息熵和语言加权算子的网络舆情突发事件模糊多指标群决策模型。首先根据应急指标重要性的判断矩阵,计算出每个专家对各指标权重的评价;然后基于相对熵的多属性组合赋权方法来获取应急专家的权重,计算得出各舆情事件指标的综合权重;再根据各应急专家对网络舆情事件的语言指 标评价值,利用语言加权算术平均算子,集结得到各网络舆情突发事件的综合决策评价值,进而对各舆情事件危机程度快速排序。最后,通过一个实例来证明本文方法的实用性。     

集成化服务供应链的物流服务商选择研究

在分析集成化服务供应链的基础上,从客户满意度、服务质量、服务成本、企业资质、协同能力和绿色竞争力六个方面,构建了比较全面客观的物流服务供应商评价指标体系。通过熵权计算出物流服务供应商权值向量和专家打分计算出各个二级指标的权重,构建定性和定量相结合的供应商评价模型,通过综合评价计算出各个物流服务供应商的评价总权值。最后,结合案例说明,建立的服务供应商评价指标体系和综合评价模型能够比较全面地评价供应商,为研究物流供应商选择提供有益参考价值。     

基于本体的物流应急预案表示及应用*

为让计算机智能地处理物流应急预案,将每个物流应急预案表示为一个应急预案本体,通过计算概念和应急预案本体的相关程度,从而找到所需物流应急预案。用OWL:imports和Jena规则可连接应急预案本体,从而形成内容更全面的预案,但会破坏原有应急预案本体语义,产生不一致问题,所提出的约束原则有效避免了这一问题。应用SPARQL查询应急预案本体,并通过自定义原语和规则弥补应急预案本体在表达能力上的不足,以有效地对应急预案本体进行推理,从而找到所需结论,进而实现了基于本体的物流应急预案的表示和应用。利用本体的语义表     

基于加权因素法的同城物流交叉转运选址仿真

当前同城物流转运选址方法无法实现对转运结果的分层评价,导致方法指标权重计算不准确,选址结果覆盖率偏低,且合理性较差.为此提出基于加权因素法的同城物流交叉转运选址方法.利用加权因素法将评价体系分为目标层、准则层与基础层,构建评价矩阵,计算指标权值系数.将整体成本最小设定为目标,确立目标函数,设置多种约束条件.根据不同指标...     

基于国家物流枢纽布局的物流枢纽评价指标体系构建——以四川省为例

物流业是支撑国民经济发展的基础性、战略性、先导性产业,而构建高质量物流基础设施网络体系是物流业发展的前题和基础,近年来,国家相继发文《国家物流枢纽布局和建设规划》、《关于推动物流高质量发展促进形成强大国内市场的意见》推动物流枢纽与物流网络的建设。而物流枢纽布局的量化评价是物流枢纽布局与物流网络建设的关键环节,本课题针对四川物流的枢纽布局,提出国家物流枢纽规划选址的层次分析方法,分析、研究梳理出4个一级指标和33个二级指标构成国家物流枢纽布局指数评价模型,并结合AHP算法给出该指标权重计算和参考取值,最后结合四川省物流枢纽项目实例给出模型应用参考与评价。提出符合四川省发展路径的建议,进一步推动四川省国家物流枢纽建设,提升全省物流服务质量。     

限制期条件下的应急过程可靠性建模及仿真

应急过程本身可靠性是应急任务完成的基础,过程的不同任务阶段必须在相应的应急限制期内启动。利用UML建立限制期条件下的应急过程模型,并建立了应急过程可靠性模型,提供了将UML模型转化为Petri网可靠性仿真模型的具体方法,最后对实例通过计算机仿真进行了大量的计算,对仿真结果进行了分析。     

Torque tracking control of electric load simulator with active motion disturbance and nonlinearity based on T‐S fuzzy model

This paper develops a high performance nonlinear control method for an electric load simulator (ELS). The tracking performance of the ELS is mainly affected by the actuator's active motion disturbance and friction nonlinearity. First, a nonlinear model of ELS is developed, and then the Takagi‐Sugeno fuzzy model is used to represent the friction nonlinearity ofthe ELS. A state observer is constructed to estimate the speed of the load system. For converting the tracking control into a stabilization problem, a new control design called virtual desired state synthesis is proposed to define the internal desired states. External disturbances are attenuated based on an H_∞ criterion and the stability of the entire closed‐loop model is investigated using the well‐known quadratic Lyapunov function. Meanwhile, the feedback gains and the observer gains are obtained separately by solving a set of linear matrix inequalities (LMIs). Both a simulation and experiment were performed to validate the effectiveness of the developed algorithm.     

A note on continuous-time ELS

The parameter estimation of continuous-time finite-dimensional linear stochastic systems is a problem of long-standing interest. The method usually used is the extended least-squares (ELS) algorithm described by a nonlinear stochastic differential equation (SLD), with the existence of the global strong solution assumed. This paper shows that the ELS estimate does exist in [0, ∞), and at the same time presents a number of convergence results paralleling those for the discrete-time case.     

Solving fuzzy capacitated location routing problem using hybrid variable neighborhood search and evolutionary local search

A fuzzy capacitated location routing problem (FCLRP) is solved by using a heuristic method that combines variable neighborhood search (VNS) and evolutionary local search (ELS). Demands of the customer and travel times between customers and depots are considered as fuzzy and deterministic variables, respectively in FCLRP. Heterogeneous and homogeneous fleet sizes are performed together to reach the least multi-objective cost in a case study. The multi-objective cost consists of transportation cost, additional cost, vehicle waiting cost and delay cost. A fuzzy chance constrained programming model is added by using credibility theory. The proposed method reaches the solution by performing four stages. In the first stage, initial solutions are obtained by using a greedy heuristic method, and then VNS heuristic, which consists of seven different neighborhood structures, is performed to improve the solution quality in the second stage. In the third stage, a perturbation procedure is applied to the improved solution using ELS algorithm, and then VNS heuristic is applied again in the last stage. The combination of VNS and ELS is called VNSxELS algorithm and applied to a case study, which has fifty-seven customers and five distributing points, effectively in a reasonable time.     

Adaptive robust torque control of electric load simulator with strong position coupling disturbance

Electric load simulator (ELS) is an important equipment to exert aerodynamic load to actuation system according to flight condition. The key issue of ELS is how to eliminate the influence of extra torque caused by actuation system, parametric uncertainties and uncertain nonlinearities. In order to overcome these difficulties, this paper proposes a powerful model-based adaptive robust torque control (ARTC) algorithm which transfers external disturbance elimination problem to a performance-oriented problem under uncertainties and nonlinearities. A discontinuous projection-based online parameter adaptation is employed to reduce the effect of various parameter uncertainties. Instead of discontinuous friction model, a continuous friction model based on smooth shape function is applied for friction compensation. The estimated velocity of actuator is utilized in ARTC controller for eliminating extra torque. The backstepping design via adaptive robust control Lyapunov function is employed to construct ARTC control law for ELS. Extensive comparative results indicate that the proposed ARTC controller is effective to achieve a guaranteed transient as well as final tracking accuracy in the presence of both parametric uncertainties and uncertain nonlinearities.     

基于特征向量局部相似性的社区检测算法

社区的发现和分析是复杂网络结构和功能研究中的一个热点。目前广泛应用的社区划分算法存在时间复杂度过高、社区核心数量无法准确量化、划分精度不高等问题。文中提出了一种基于特征向量局部相似性的社区检测算法ELSC。该算法首先计算网络中每个节点的特征向量中心性,在此基础上提出了特征向量局部相似性(ELS)和特征向量吸引性(EA)指标。ELS指标表示节点之间的相似性,用来形成初始社区,在同一个社区内部节点之间的相似性较高,在不同社区节点之间的相似性较低;EA指标同时考虑了局部相似性和特征向量中心性的占比,表示节点之间的吸引性,用来优化初始社区,并在此基础上完成网络的社区划分。该算法由最值确定节点,避免了节点数量阈值不确定的问题。在7个真实网络上将所提算法与6种知名算法的模块度和标准化互信息两个指标进行综合比较,结果表明,该算法具有良好的准确性,并且具有较低的时间复杂度。     

Stochastic adaptive one-step-ahead optimal controllers based oninput matching

Optimal adaptive controller based on the ELS algorithm is established using the input matching technique. The control signal is reduced to a constant weighted sum of the measurable information-state vector components using a one-step-ahead quadratic cost function to govern the behavior of the stochastic linear systems. The control effort can be estimated globally. The algorithm also predicts the convergence rate. With no excitation condition, the closed-loop system is globally stable and the input converges to the one-step-ahead optimal input     

基于网络可靠性指标的QoS路由算法

针对网络链路的可靠性在网络设计中的重要性,提高网络中所选路径的可靠性,提升业务性能,提出了一种基于网络可靠性指标的路由算法(BRI).该算法综合考虑了链路的可靠性,带宽等方面的因素,对网络链路的可靠性进行了深入的研究,找出了能提升业务性能、提高可靠性的路由.建立了网络拓扑结构的数学模型,描述了具体的路由算法,最后给出了数值仿真实例.仿真结果表明,算法在提高所选路径的可靠性、提升业务性能,有效利用网络资源等方面是可行的和有效的.     

The identification of electric load simulator for gun control systems based on variable-structure WNN with adaptive differential evolution

Owing to the complex nonlinearities of the electric load simulator (ELS) for the gun control system (GCS), the surplus torque plays a great negative impact on the performance of the loading system. This paper proposes a variable-structure wavelet-neural-network (VSWNN) identification strategy based on adaptive differential evolution (ADE). First of all, a mathematical model is established based on the structure and the working principle of the ELS. Then an intelligent identification method is applied, where the wavelet function is chosen as the excitation function, which improves the generalization and approximation ability of the neural network. The ADE is used to optimize the parameters, which solves the difficulty of determining the structure of the WNN. In order to reduce the computation complexity and speed up the convergence of the identification system, the adaptive laws of the pitch adjusting rate (PAR), band width (BW) and variable numbers of neurons are proposed. Finally, a pseudo random multilevel signal and a linear frequency modulation signal are chosen as input signals for the hardware-in-the-loop simulation. The test results show that the proposed ADE-VSWNN algorithm has superior validity and practicability, especially when the identification algorithm is used in the working circumstances with different inertial torque. Further, the high precision and strong robustness of the identification algorithm are further verified.     

A multi-start evolutionary local search for the two-dimensional loading capacitated vehicle routing problem

This paper addresses an extension of the capacitated vehicle routing problem where customer demand is composed of two-dimensional weighted items (2L-CVRP). The objective consists in designing a set of trips minimizing the total transportation cost with a homogenous fleet of vehicles based on a depot node. Items in each vehicle trip must satisfy the two-dimensional orthogonal packing constraints. A GRASP×ELS algorithm is proposed to compute solutions of a simpler problem in which the loading constraints are transformed into resource constrained project scheduling problem (RCPSP) constraints. We denote this relaxed problem RCPSP-CVRP. The optimization framework deals with RCPSP-CVRP and lastly RCPSP-CVRP solutions are transformed into 2L-CVRP solutions by solving a dedicated packing problem. The effectiveness of our approach is demonstrated through computational experiments including both classical CVRP and 2L-CVRP instances. Numerical experiments show that the GRASP×ELS approach outperforms all previously published methods.