军械调运方案优化算法的设计与仿真

军械调运问题的数学模型和手工算法过去已有研究,但是当问题较为复杂时,手工算法就要花费大量时间而且准确性也难以保证。针对这一缺陷,本文在已有的数学模型和手工算法的基础上,设计了一种可以用计算机实现的基于递归的算法来寻求军械紧急调运问题的最优方案,并使用面向对象的java语言将算法实现。     

基于UML的军械保障业务流程建模研究

为了提高海军军械保障领域的信息化水平,提高我军打赢信息化条件下战争的能力,必须要对军械业务流程进行建模.文中首先对统一建模语言(UML)进行了介绍并说明了采用UML语言的优势,然后将UML引入到军械保障建模中,阐述了基于UML的建模步骤,并以军械保障业务中的装备分配调拨业务为例,构建了装备分配调拨业务的UML模型.文中实现了对军械保障业务模型构建的方法研究,提出以UML为建模语言,为以后信息系统的研制、实现海军军械保障信息化提供了模型支持.     

基于本体的海军军械保障元数据构建方法研究

将本体与与元数据结合,研究基于本体的海军军械保障元数据模型构建方法,此方法可用于组织、编辑和查询海军军械保障领域的元数据信息,能够描述海军军械保障领域各相关概念以及概念之间关系的知识,提高海军军械保障数据资源的发现能力。     

多供应点、多需求点应急物资调运模型及算法

研究了多供应点、多需求点应急物资调运问题的优化目标、决策模型及求解算法。首先,从需求点的角度考虑应急物资的需求紧迫程度、运达时间和需求满足情况,提出了应急保障综合评价函数。在此基础上,兼顾不同供需情况以及应急物资和运输工具种类的多样性,构建了以应急保障综合评价函数值最小为目标的决策模型。最后,针对模型特点提出了嵌入解构造算法的改进粒子群优化算法(IPSOA-ESCA)。仿真实验验证了应急保障综合评价函数的合理性、模型的普适性和算法的有效性。     

某型飞机航空军械仿真训练系统设计

针对航空军械保障训练成本高、风险大、实施难等问题,设计了一种基于工控机与PLC控制的某型飞机航空军械仿真训练系统,该系统能设置航空军械保障的训练任务,仿真外挂物管理系统对武器的操作控制,对军械保障训练的结果进行分析评估,实现了航空军械保障训练的全流程的仿真,实际仿真训练结果表明,采用该系统实施军械保障训练能量化训练过程,降低训练风险,节约训练成本。     

浅析信息化战争条件下的军用软件保障

本文阐述了信息化战争的特点,以及信息化战争条件下军械装备软件保障工作的有关概念,提出为适应未来信息化战争条件下我军军械装备软件保障工作应注意和把握的几个问题。     

物联网技术在军械保障中的应用需求分析

针对海军军械信息化建设问题,对物联网技术在军械保障中的应用进行了需求分析,详细分析了物联网技术在军械资产管理、环境(设施)监控、人员管理和作业活动管理中的需求和应用点,对物联网技术在军械保障中的推广应用具有重要的技术指导意义。     

空军军械业务管理自动化系统

登记号 880025 开发单位江苏省计算技术研究所,空军后勤部军械部, 功能简介《空军军械业务管理自动化系统》是以局部网和远程通信网为基础的多级、多层次、多功能微机管理信息系统。该系统较全面地复盖了空军军械业务工作。平时能用于空军军械业务工作管理,具有多种辅助决策功能;战时用于战勤保障辅助决策。     

基于多时间窗的油料保障模型

针对军用油料(POL)调拨运输优化问题,通过引入保障时间窗,考虑了油料保障过程中复杂的时间窗约束和运力约束,提出了基于多时间窗的油料调拨运输的约束满足问题(CSP)模型及其求解算法。首先,对油料保障点、油料需求点、保障时间窗、油料保障需求及油料保障任务等要素进行了形式化描述;在此基础上,建立了油料保障CSP模型,并采用理想点法,将模型中的多目标转化为单目标规划问题;设计了基于粒子群优化(PSO)算法的模型求解方法和步骤,并通过算例介绍了模型的具体运用。算例中,将利用所提模型求解得到的优化方案与最大化油料保障量为单一目标的模型优化方案进行比较,两种方案下的运力安排已达最大,但对各油料需求保障时间的安排,所提模型求解方案中每个油料需求的开始保障时间都不晚于单目标模型求解方案中的保障时间。通过对不同优化方案的比较,表明所提模型和算法能够有效解决多目标油料保障优化问题。     

飞机起飞调运航路规划方法研究

针对飞机从停机位到起飞位的调运航路规划问题,为了规划最优航路,首先采用栅格法建立了飞行场地和飞机的简化模型,根据飞行场地的飞机布列位置,应用蚁群优化算法,规划出所有飞机从停机位到不同的起飞位的调运航路;针对飞机运动时的转角约束条件,利用B样条对规划出的调运航路进行平滑处理。经仿真生成了安全、可行的最短调运航路。仿真结果表明,将蚁群算法和B样条相结合应用于飞机调运航路规划,可以满足飞机运动的约束条件且规划出的结果优化。     

地理信息系统中算法的研究

我们开发的地理信息系统，可根据查询对象的不同标注出铁路、公路、水路和航空交通网，并可按任意比例缩放，其核心功能是任意选择的两个城市，采用Dijkstra迪杰斯特拉算法，可求出两者之间的最佳路径。本文对该数模的建立及其算法做了详细的论述．     

Constrained fuzzy arithmetic approach to fuzzy transportation problems with fuzzy decision variables

Most of the existing methods for solving fully fuzzy mathematical programs are based on the standard fuzzy arithmetic operations and/or Zadeh's extension principle. These methods may produce questionable results for many real-life applications. Due to this fact, this paper presents a novel method based on the constrained fuzzy arithmetic concept to solve fully fuzzy balanced/unbalanced transportation problems in which all of the parameters (source capacities, demands of destinations, transportation costs etc.) as well as the decision variables (transportation quantities) are considered as fuzzy numbers. In the proposed method, the requisite crisp and/or fuzzy constraints between the base variables of the fuzzy components are provided from the decision maker according to his/her exact or vague judgments. Thereafter, fuzzy arithmetic operations are performed under these requisite constraints by taking into account the additional information while transforming the fuzzy transportation model into crisp equivalent form. Therefore, various fuzzy efficient solutions can be generated by making use of the proposed method according to the decision maker's risk attitude. In order to present the efficiency/applicability of the proposed method, different types of fully fuzzy transportation problems are generated and solved as illustrative examples. A detailed comparative study is also performed with other methods available in the literature. The computational analysis have shown that relatively more precise solutions are obtained from the proposed method for “risk-averse” and “partially risk-averse” decision makers. The proposed method also successfully provided fuzzy acceptable solutions for “risk seekers” with high degree of uncertainty similar to the other existing methods in the literature.     

基于神经网络的B运输问题求解算法

构造了一个B运输问题的等价模型,依据此模型,利用连续Hopfield网络求解,最后给出了一些示例.     

A solid transportation problem for an item with fixed charge, vechicle cost and price discounted varying charge using genetic algorithm

In this paper, discount in transportation cost on the basis of transportated amount is extended to a solid transportation problem. In a transportation model, the available discount is normally offered on items/criteria, etc., in the form AUD (all unit discount) or IQD (incremental quantity discount) or combination of these two. Here transportation model is considered with fixed charges and vechicle costs where AUD, IQD or combination of AUD and IQD on the price depending upon the amount is offered and varies on the choice of origin, destination and conveyance. To solve the problem, genetic algorithm (GA) based on Roulette wheel selection, arithmetic crossover and uniform mutation has been suitably developed and applied. To illustrate the models, numerical examples have been presented. Here, different types of constraints are introduced and the corresponding results are obtained. To have better customer service, the entropy function is considered and it is displayed by a numerical example. To exhibit the efficiency of GA, another method—weighted average method for multi-objective is presented, executed on a multi-objective problem and the results of these two methods are compared.     

Evaluating the quality of airport service using the fuzzy multi‐criteria decision‐making method: a case study of Taiwanese airports

In today's highly competitive air transportation environment, the quality of airport service is an important issue. In this paper, we present a fuzzy multi‐criteria decision‐making (MCDM) method for the evaluation of the quality of airport service. The data are collected from the passengers who depart from two international airports in Taiwan. The fuzzy MCDM model is defuzzied using the inverse function arithmetic representation method. The results show that the average quality of the Taoyuan International Airport service is better than that of the Kaohsiung International Airport service. This paper also analyses the quality of airport service using the fuzzy expert system to improve the performance of airport service. The analysis results show that the Kaohsiung International Airport and the Taoyuan International Airports' improvement efforts should be concentrated on seven and five specific service items, respectively. The findings of this paper are to help the decision‐makers and the managers of airports improve the quality of airport service.     

Dijkstra算法在城市道路网络中的应用

本文介绍了一个利用自然语言处理技术进行城市交通查询的系统.在研究城市道路网络特征基础上,建立城市道路网络模型及其数据库,应用Dijkstra算法对城市道进行最短路径查询,该算法是从起点和终点分别用二叉树按起点到终点和终点到起点的方向进行搜索,并得到良好的查询结果.     

新型军械装备损坏程度评估方法研究

根据新型军械装备损坏程度具有不确定性的特点,提出了基于D-S证据理论的新型军械装备损坏程度评估方法,并求出了新型军械装备损坏程度区分.通过对典型新型军械装备损坏程度的评估,验证了该方法的有效性和实用性.     

Intelligent bus routing with heterogeneous human mobility patterns

Optimal planning for public transportation is one of the keys helping to bring a sustainable development and a better quality of life in urban areas. Compared to private transportation, public transportation uses road space more efficiently and produces fewer accidents and emissions. However, in many cities people prefer to take private transportation other than public transportation due to the inconvenience of public transportation services. In this paper, we focus on the identification and optimization of flawed region pairs with problematic bus routing to improve utilization efficiency of public transportation services, according to people’s real demand for public transportation. To this end, we first provide an integrated mobility pattern analysis between the location traces of taxicabs and the mobility records in bus transactions. Based on the mobility patterns, we propose a localized transportation mode choice model, with which we can dynamically predict the bus travel demand for different bus routing by taking into account both bus and taxi travel demands. This model is then used for bus routing optimization which aims to convert as many people from private transportation to public transportation as possible given budget constraints on the bus route modification. We also leverage the model to identify region pairs with flawed bus routes, which are effectively optimized using our approach. To validate the effectiveness of the proposed methods, extensive studies are performed on real-world data collected in Beijing which contains 19 million taxi trips and 10 million bus trips.