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Study On Next-Generation Strategic Wargame System, Wu Xi, Xianglin Meng, Jingyu Yang 2021 College of Joint Operation, National Defense University, Beijing 100091, China;

Study On Next-Generation Strategic Wargame System, Wu Xi, Xianglin Meng, Jingyu Yang

Journal of System Simulation

Abstract: Strategic wargame is an important support to the strategic decision. The research status and challenges of the strategic wargame are analyzed, and the influence of big data and artificial intelligence technology on the strategic wargame system is studied. The prospects and key technologies of the next-generation strategic wargame system are studied, including the construction of event association graph for strategic topics, generation of strategic decision sparse samples based on generative adversarial nets, gaming strategy learning of human-in-loop hybrid enhancement, and public opinion dissemination modeling technology based on social network. The development trend of the strategic wargame is proposed.


Challenges And Reflection On Next-Generation Large-Scale Computer Wargame System, Guangya Si, Yanzheng Wang 2021 College of Joint Operations, National Defence University, Beijing 100091, China;

Challenges And Reflection On Next-Generation Large-Scale Computer Wargame System, Guangya Si, Yanzheng Wang

Journal of System Simulation

Abstract: In view of the systematic, networked and intelligent characteristics of the future war, the major challenges of the new generation of large computer warfare system are proposed, and the next-generation large-scale computer wargame system is constructed. The key technologies of building a new generation of large computer warfare systems, such as intelligent war modeling, architecture integration, resource service management and human-computer interaction are researched.


Wargaming Eco-System For Intelligence Growing, Wu Lin, Xiaofeng Hu, Jiuyang Tao, Xiaoyuan He 2021 College of Joint Operation, National Defense University, Beijing 100091, China;

Wargaming Eco-System For Intelligence Growing, Wu Lin, Xiaofeng Hu, Jiuyang Tao, Xiaoyuan He

Journal of System Simulation

Abstract: The construction of the next generation intelligent wargaming system can not be accomplished at one move, but through building an ecosystem to gradually grow intelligence. The basic concepts of the intelligent wargame ecosystem, and are defined the idea of dynamic openness, diversified levels and co-evolution are proposed. Drawing lessons from the human intelligence growing process and learning-evolution mechanism, the double helix model of the next generation of wargame cognitive intelligent evolution and growth is constructed. On the basis of the OLTA cycle, the wargame deduction ecosystem system framework is given. The application of the technologies, such as …


Abroad Wargaming Deduction And System Research, Zhanguang Cao, Tao Shuai, Xiaofeng Hu, Lülong He 2021 1. College of Joint Operation, National Defense University, Beijing 100091, China; ;

Abroad Wargaming Deduction And System Research, Zhanguang Cao, Tao Shuai, Xiaofeng Hu, Lülong He

Journal of System Simulation

Abstract: Wargaming is an important auxiliary means of war deduction, scheme evaluation and operational analysis. Wargaming deduction system can support the research of operational problems, innovation of tactics and development of operational concepts. The development status of foreign computer wargaming system from the deduction method and system research is reviewed, and the online deduction the multi-level joint deduction, as well as the research status of multi-level wargaming fusion design, the multi system combination and auxiliary tool development are mainly introduced, which can providereference to the development and application of computer wargame system.


Application Of Two-Population Fish Swarm Algorithm In Distributed Portfolio, Fuyu Wang, Tang Tao 2021 School of Management Science and Engineering, Anhui University of Technology, Ma'anshan 243032, China;

Application Of Two-Population Fish Swarm Algorithm In Distributed Portfolio, Fuyu Wang, Tang Tao

Journal of System Simulation

Abstract: Aiming at the disadvantages of artificial fish swarm algorithm, such as low precision and easily falling into local optimum, combining the idea of gravity algorithm and teaching optimization, a two-population fish swarm search algorithm is proposed. Cross-thinking is adopted to optimize the results obtained by the two populations and avoid the local optimization. Metropoils criterion of simulated annealing is added to the standard function verifies the algorithm, and the results show that the two-population fish swarm algorithm is better than the traditional artificial fish swarm algorithm and the known literature algorithm. Based on the known literature, a distributed …


Exploring Formal Model Transformation Techniques Within Model Driven Engineering, Zhu Zhi, Lei Sen, Yonglin Lei 2021 College of System Engineering, National University of Defense Technology, Changsha 410073, China;

Exploring Formal Model Transformation Techniques Within Model Driven Engineering, Zhu Zhi, Lei Sen, Yonglin Lei

Journal of System Simulation

Abstract: With the increasing complexity of simulation system and the wide use of simulation models, the higher requirements of the efficiency and quality for simulation models are needed. Currently, model-driven engineering is mostly applied in many simulation software tools, which cannot really carry out the formal analysis at the model level. Based on model driven engineering, the domain specific language with metamodeling and engineering model continuity is designed. Taking a group fire control channel system as the example, the domain specific language is designed and the conceptual models are transformed into other precise semantics to carry out the final executable …


Research On Benefits Of Mixed Traffic Flow Of Intelligent Connected Vehicles, Mingwei Hu, Zhiming Zhang, Xiangsheng Chen 2021 1. College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China; ;2. Underground Polis Academy, Shenzhen University, Shenzhen 518060, China; ;3. Key Laboratory of Coastal Urban Resilient Infrastructures, Ministry of Education, Shenzhen University, Shenzhen 518060, China;

Research On Benefits Of Mixed Traffic Flow Of Intelligent Connected Vehicles, Mingwei Hu, Zhiming Zhang, Xiangsheng Chen

Journal of System Simulation

Abstract: In order to study the benefits of the mixed traffic flow Intelligent Connected Vehicles (ICV) and non-connected vehicles, aiming at the intelligent and connected characteristics of ICV. Through the microscopic traffic simulation software Vissim redevelopment, ICV having the function of intelligent connected vehicles traffic flow modeling is realized. The mixed traffic flow composed of intelligent connected vehicles and non-connected vehicles under different market penetration rates is simulated. By comparing the traffic benefits at different time periods and different penetration rates, it is found that with the increase of the market penetration rate of intelligent connected vehicles, the average speed …


Modeling And Simulation On Optimum Maneuver Control Surface Configuration Of Aircraft In Low Altitude Penetration Mode, Huzi Wu, Wang Jin, Wantao Qi, Kaibao Jin 2021 1. AVIC the First Aircraft Institute, Xi'an 710089, China; ;

Modeling And Simulation On Optimum Maneuver Control Surface Configuration Of Aircraft In Low Altitude Penetration Mode, Huzi Wu, Wang Jin, Wantao Qi, Kaibao Jin

Journal of System Simulation

Abstract: Optimum maneuver control surface can ensure the safety flight cability of aircraft in low altitude penetration mode, and it is of great siginifcance to establish the valid and effective numerical simulation model. The numerical differential equations with muti-constraints is adopted for the first time, to construct the simulaton model for the aircraft with small wing load and mutifunctional and combined CS in low altitude manuever, the schemes of different maneuver CS considering the obstacle, the limit of angle of bank, the graident of climb are built. The simulation results show that the model is effective for solving the …


Hurricane Trajectory Outlier Detection Method Based On Variational Auto-Encode, Wanting Qin, Songyang Lao, Tang Jun, Lu Cong 2021 College of Systems Engineering, National University of Defense Technology, Changsha 410073, China;

Hurricane Trajectory Outlier Detection Method Based On Variational Auto-Encode, Wanting Qin, Songyang Lao, Tang Jun, Lu Cong

Journal of System Simulation

Abstract: Hurricanes often cause incalculable human and economic losses, and the trajectory outlier detection can provide the auxiliary information or abnormal warning of the disaster. On deep learning, a method of hurricane trajectory outlier detection based on variable auto encoder (VAEOD) is proposed in this paper. The trajectory is divided into equal sequence sub trajectories based on the sliding window as the input of VAE. The trajectory reconstruction model is trained by the VAE. The parallel, vertical and angle distance of reconstructed trajectory and the input trajectory are compared to find out the outlier trajectory segments. The simulation experiment on …


Evolutionary Simulation Of Medical Products Export Safety Supervision Considering Regulation Of Importing Country, Xiaoli Li, Cejun Cao, Fanshun Zhang 2021 1. School of Management, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; ;

Evolutionary Simulation Of Medical Products Export Safety Supervision Considering Regulation Of Importing Country, Xiaoli Li, Cejun Cao, Fanshun Zhang

Journal of System Simulation

Abstract: In order to investigate the impacts of the regulation of importing country on export safety supervision regarding medical products in the COVID-19 epidemic situation, an evolutionary game model considering the relation between export enterprise and supervision of government is constructed. Based on MATLAB simulation, the influences of different factors including regulation level of importing country, punishment mechanism on export safety supervision of medical products are analyzed. Results show that the illegal behaviors of the export enterprises of medical products can be restrained when the regulation level of importing country reaches a certain threshold. But that would fuel the passively …


Research On Simulation Object Interfaces Oriented To Plug-In-Play Pattern, Zhongwei Lin, Xiuhe Li, Yiping Yao, Shen Yang, Shaoqi Dai, Qianqian Shi 2021 1. College of Electronic Engineering, National University of Defense Technology, Hefei 230031, China; ;

Research On Simulation Object Interfaces Oriented To Plug-In-Play Pattern, Zhongwei Lin, Xiuhe Li, Yiping Yao, Shen Yang, Shaoqi Dai, Qianqian Shi

Journal of System Simulation

Abstract: Models and simulation engines provide services mainly in the format of executable files in cloud environment, thus plug-in-play pattern becomes the first choice of simulation, which needs necessitating interfaces to connect the model processing logics and the simulation engine control logics. A set of simulation object interfaces that covers the simulation full life cycle of initialization, event scheduling, processing and cancel, publish and processing of subscription, roll-back and termination is proposed, and then defined in C++ language. Two examples show the process of the interfaces and the effectiveness of constructing the simulation objects. With the instantiation and disposal …


Research And Implementation Of A High Performance Distributed Object-Oriented Simulation Engine, Xiaodong Huang, Kongshu Xie 2021 Service College, Naval Aviation University, Yantai 264001, China;

Research And Implementation Of A High Performance Distributed Object-Oriented Simulation Engine, Xiaodong Huang, Kongshu Xie

Journal of System Simulation

Abstract: Simulation engine is the core of simulation platform and the operating system of simulation field. On the basis of the reflection-based object-oriented simulation modeling framework and programing specification, aiming at the developing integration and operation requirements for the large-scale multi-granularity computation intensive simulation system, a High-performance Distributed Object-oriented Simulation Engine (HDOSE) is developed. Combined with the brief review of HDOSE development, on the basis of expounding the HDOSE function services and architecture, the key technology, large-scale multi-granularity parallel computation, programming model and interface, parameterized componentized modeling and so on are mainly introduced. The HDOSE typical application cases …


Research And Application On Space-Launching Mission Simulated Rehearsal Technology, Xiuluo Liu, Wang Jia, Wu Feng, Liu Yang, Ailiang Zhang, Wang Min 2021 Beijing Institute of Tracking and Communication Technology, Beijing 100094, China;

Research And Application On Space-Launching Mission Simulated Rehearsal Technology, Xiuluo Liu, Wang Jia, Wu Feng, Liu Yang, Ailiang Zhang, Wang Min

Journal of System Simulation

Abstract: High-density space launching tasks need the new requirements for space-launching mission rehearsal. The new concept of space-launching mission simulated rehearsal is proposed, the definition and content are presented in detail,and the technology research objective and key works are analyzed. The technology implementation architecture is established on five dimensions of the domain resources, developing tools, simulation modeling, fundamental function design and domain application. On the basis of simulation, the working process is given, the simulation software architecture is designed, and the simulation application tool is developed. The simulation results are also given, which validate the method and technology.


Visual Analysis Method Of Tobacco Quality Data Based On Dimension Reduction, Tian Dong, Guihua Shan, Xuebin Chi, Yanling Zhang, Weihua Feng, Jianwei Wang, Aiguo Wang, Wang Rui 2021 1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China; ;2. University of Chinese Academy of Sciences, Beijing 100190, China; ;

Visual Analysis Method Of Tobacco Quality Data Based On Dimension Reduction, Tian Dong, Guihua Shan, Xuebin Chi, Yanling Zhang, Weihua Feng, Jianwei Wang, Aiguo Wang, Wang Rui

Journal of System Simulation

Abstract: In order to meet the requirements of tobacco leaf matching across regions in tobacco material selection, a visual analysis method of tobacco leaf quality data that incorporating dimension reduction and correlation analysis methods is developed. Through the dimension reduction algorithm, the comparison algorithm and the visual interaction method based on the classification of aroma area for tobacco leaf quality data, a visual analysis method for exploring space division and correlation analysis of tobacco leaf quality data is provided. National tobacco leaf quality data analysis cases and expert demonstrations show that the method can carry out the tobacco leaf quality …


Order Sorting Optimization For Four-Way Shuttle System Based On Improved Genetic Algorithm, Xinjie He, Shaowu Zhou, Hongqiang Zhang, Lianghong Wu, Zhou You 2021 1. College of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China; ;

Order Sorting Optimization For Four-Way Shuttle System Based On Improved Genetic Algorithm, Xinjie He, Shaowu Zhou, Hongqiang Zhang, Lianghong Wu, Zhou You

Journal of System Simulation

Abstract: During the batch outbound operations of the four-way shuttle system, the different execution order of the system's outbound leads to the different interaction time between the four-way shuttle and the hoist will be different, which will affect the system's outbound operation time. According to the operation process of batch outbound, with the order of batch order outflow as the variable and the system outflow time as the objective function, a system order sort optimization model i established. Based to the characteristics of the model, with the improved genetic algorithm, the optimal order of the system is obtained. By changing …


Learning Ant Colony Algorithm For Green Multi-Depot Vehicle Routing Problem, Hu Rong, Wenbo Chen, Bin Qian, Guo Ning, Fenghong Xiang 2021 1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China; ;2. Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming 650500, China;

Learning Ant Colony Algorithm For Green Multi-Depot Vehicle Routing Problem, Hu Rong, Wenbo Chen, Bin Qian, Guo Ning, Fenghong Xiang

Journal of System Simulation

Abstract: Considering the congested roads situation of urban central areas in China, a speed calculation method based on vehicle driving sections is designed, and a model for the Green Multi-Depot Vehicle Routing Problem with Total Fuel-Consumption cost Criterion (TFC-GMDVRP) is established, considering simultaneously the vehicle travel distance, load, and speed factors. A learning ant colony optimization algorithm (LACO), combining a knowledge model and an ant colony optimization algorithm (ACO), is proposed for solving the TFC-GMDVRP. In order to improve the performance and robustness of the algorithm's global search, the parameter knowledge that contains the different …


Mechanism Design For Entities' Passive Dimensional Sensing Interaction In Discrete Event Simulations, Yan Fei, Bin Gan, Zhaodi Chen, Wenjuan Ma, Luyao Li, Zhang Ke 2021 1. Beijing Huaru Technology Co., Ltd., Beijing 100193, China; ;

Mechanism Design For Entities' Passive Dimensional Sensing Interaction In Discrete Event Simulations, Yan Fei, Bin Gan, Zhaodi Chen, Wenjuan Ma, Luyao Li, Zhang Ke

Journal of System Simulation

Abstract: Dimensional sensing interaction mechanism is a method of computing the entities' visibility on the basis of the position and visible range, and informing when and where the entities can perceive each other. Entities' active computing on the relative position needs a lot of computation and is low efficiency, and slow down the simulation execution at last. The mechanism and framework of the passive dimensional sensing interaction, including the spatial grid models, discrete movement models, and passive sense models are researched. Dimensional sensing interaction manager is designed to realize the computation of entities' dimensional sensing interaction in discrete event-based battle …


Research On The Issues Of Next Generation Wargame System Model Engine, Yubo Tang, Bilong Shen, Shi Lei, Yi Xing 2021 1. College of Joint Operation, National Defense University, Beijing 100091, China; ;

Research On The Issues Of Next Generation Wargame System Model Engine, Yubo Tang, Bilong Shen, Shi Lei, Yi Xing

Journal of System Simulation

Abstract: Aiming at the more and more complex war systems, widely used artificial intelligence technology is needed to make up the human deficiencies in future wargame deduction, which is necessary for the next generation wargame system model engine. To address these challenges, a framework prototype of the next generation wargame model engine based on the experience of the long-term development and application is proposed. The decoupling method for the complexity of structure and computation is researched. The human-computer integration architecture on digital twinning technology is studied. Some new modeling techniques which the threshold of model development is reduced and the …


Fault Diagnosis Of Industrial Process Based On Lle And K-Means Clustering Algorithm, Li Yuan, Zewei Geng 2021 Department of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China;

Fault Diagnosis Of Industrial Process Based On Lle And K-Means Clustering Algorithm, Li Yuan, Zewei Geng

Journal of System Simulation

Abstract: Because of the similarity of various types of data in the industrial process. The fault diagnosis using the K-means algorithm has a large error rate. A K-means clustering algorithm based on Locally Linear Embedding (LLE) is proposed. the normal data is reduced by the LLE algorithm and the projection matrix is obtained. The projection matrix is used to map the original fault data to the low-dimensional space and the K-means algorithm clusters is used to carry out the data to establish a detection and diagnosis model. The method is applied to the fault detection and diagnosis in the TE …


Optimization Algorithm Of Mine Ventilation Based On Sa-Ipso, Liangshan Shao, Wang Zhen, Changming Li 2021 1. Liaoning Technical University Institute of Systems Engineering, Huludao 125105, China; ;2. School of Software, Liaoning Technical University, Huludao, 125105, China;

Optimization Algorithm Of Mine Ventilation Based On Sa-Ipso, Liangshan Shao, Wang Zhen, Changming Li

Journal of System Simulation

Abstract: A non-linear optimization mathematical model aiming at the minimum total power of the mine ventilation network is established, in which SA-IPSO algorithm is applied for the optimization. The mutation operation is introduced in the PSO algorithm, in which a new inertia weight is proposed and a new particle selection method is constructed to control the number of particles violating the constraints, and the ability of the PSO algorithm to find boundaries is improved. The constraint conditions of the mine ventilation law are transformed into the penalty term of the objective function. IPSO optimizes the objective function and uses SA …


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