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Survey on Intelligent Wargaming: Tactical & Campaign Wargame and Strategic Game from Game-Theoretic Perspective Luo Junren, Zhang Wanpeng, Xiang Fengtao, Jiang Chaoyuan, Chen Jing Journal of System Simulation    2023, 35 (9): 1871-1894.   DOI: 10.16182/j.issn1004731x.joss.23-0300 Abstract （1894）   HTML （103）    PDF（pc） （4154KB）（5667）       Knowledge map    Save Wargaming is a pre-practice activity to study national security and competition, military conflict and war, crisis management, and other major strategic issues. An intelligent wargaming system needs the ability of artificial intelligence technology. This paper briefly summarizes the research progress of intelligent game, the evolution of wargaming, intelligent wargaming, and strategic gaming methods. From the perspective of game theory, it analyzes the game problem model for intelligent wargaming and sorts out the application mode of intelligent wargaming and the organization mode of a strategic game. An intelligent wargaming service-oriented architecture based on cloud native is proposed. Pre-training method for future decision-making cloud is explored for distributed confrontation at cloud edge, and a meta-game analysis framework for strategic wargaming is constructed for cognition of crisis events. It is expected to provide a scientific and effective reference for the research on the theory and tools of intelligent wargaming and offer theoretical and technical support for the new generation of intelligent cloud-edge cooperative command and control. Table and Figures | Reference | Related Articles | Metrics

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Summary of Simulation Technology and Its Application in Training Field Zhiming Qiu, Heng Li, Yufang Zhou, Duzheng Qing Journal of System Simulation    2023, 35 (6): 1131-1143.   DOI: 10.16182/j.issn1004731x.joss.23-0351 Abstract （2054）   HTML （675）    PDF（pc） （3245KB）（3766）       Knowledge map    Save High-tech weapons, operations and battlefield environment become more and more increasingly sophisticated. It is an effective way to resolve the conflicts between huge equipment training cost and limited resources and improve training quality by building networked, systematic and intelligent simulation training equipment and system, and conducting systematic countermeasure simulation training based on present simulation technologies and training resources. The current situation and trend of the development of system architecture of simulation, simulation modeling, enemy simulation, information system simulation, etc are evaluated and summarized. It initially analyses the application and efficacy on the US Navy's normalized training environment, typical systems such as 'Alpha' intelligence air war simulation training system and the American 2021 large-scale military exercises are analyzed. Aiming at the real combat simulation training capacity under the combat condition, five research directions are proposed, which could be the references for engineering and technical personnel in this field. Table and Figures | Reference | Related Articles | Metrics

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Development of Several Typical Virtual Reality Fusion Technologies Feng Qiqi, Dong Zhiming, Peng Wencheng, Dai Yi, Si Bingshan Journal of System Simulation    2023, 35 (12): 2497-2511.   DOI: 10.16182/j.issn1004731x.joss.22-0793 Abstract （1535）   HTML （655）    PDF（pc） （4184KB）（3750）       Knowledge map    Save Virtual reality fusion can realize the two-way interaction, mapping and linkage between virtual world and physical world, which attracts the attention of countries in the world. In order to sort out and make statistics on concept connotation, academic status and application of the related new technologies, digital twin, cyber-physical systems, metaverse and live-virtual-constructive simulation are taken as representatives.The comparison on the development process, functional characteristics, target trends, etc. is carried out. Table and Figures | Reference | Related Articles | Metrics

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Unmanned Air Vehicles Launching Aircraft Combat System and Key Technologies for Penetrating Counterair Minghao Li, Wenhao Bi, An Zhang, Wenxuan Sun Journal of System Simulation    2022, 34 (9): 1920-1932.   DOI: 10.16182/j.issn1004731x.joss.21-0403 Abstract （2398）   HTML （655）    PDF（pc） （1197KB）（3122）       Knowledge map    Save Penetrating counterair is an important countermeasure to the anti-access/area denial environment. Under this operational requirement, the unmanned air vehicles launching aircraft (UAVLA)has received much attention due to the advantages of load quantity and variety, operational range and duration, and development time and cost. Based on the review of the concept development and supporting research related to the UAVLA, the top-level concepts of operations such as the component systems,operational process, operational events tracking, and information interaction of the UAVLA combat system (UAVLACS) are designed. The key technologies of the system are prospected from four aspects:intelligent cognition of battlefield situation under complex environment, trusted and reliable long-range resilient communication, multi-UAVs bionic autonomous decision making and coordination, and universal UAVs launch control in the cargo bay, to promote the development of UAVLACS and technology reserve,and provide a theoretical basis and modeling framework for the simulation and evaluation of UAVLACS operation process and functions. Table and Figures | Reference | Related Articles | Metrics

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Overview of Research and Application on Autonomous Vehicle Oriented Perception System Simulation Ruoxuan Wang, Jianping Wu, Hui Xu Journal of System Simulation    2022, 34 (12): 2507-2521.   DOI: 10.16182/j.issn1004731x.joss.22-FZ0921 Abstract （2907）   HTML （736）    PDF（pc） （702KB）（2687）       Knowledge map    Save Following the rapid progress of science and technology, vehicles with autonomous driving or auxiliary driving function enter into vehicle market. However, in the past decade, traffic accidents still occurred frequently, and the safety of these functions become the focus. Simulation technology provides a good platform to test the perception system of autonomous vehicle. Focus on the sensor simulation modeling of autonomous vehicle perception system, from the perspective of single sensor simulation, multi-sensor simulation and classic simulation platform including millimeter wave radar, lidar and camera, the existing research are reviewed, and the shortcomings and development trends of simulation modeling of perception system are summarized. The perception efficiency, travel safety, and the development of autonomous vehicle is promoted. Table and Figures | Reference | Related Articles | Metrics

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Research on Opponent Modeling Framework for Multi-agent Game Confrontation Junren Luo, Wanpeng Zhang, Weilin Yuan, Zhenzhen Hu, Shaofei Chen, Jing Chen Journal of System Simulation    2022, 34 (9): 1941-1955.   DOI: 10.16182/j.issn1004731x.joss.21-0363 Abstract （3254）   HTML （221）    PDF（pc） （1776KB）（2641）       Knowledge map    Save As the key technology of multi-agent game confrontation, opponent modeling is a typical cognitive modeling method of agent's behavior. Several typical models of multi-agent game confrontation,non-stationary problems, and meta-game theory are introduced; opponent modeling methods that concludes the frontier theory of opponent modeling are summarized, and the applications and challenges are analyzed. Based on the theory of meta-game, a general opponent modeling framework is constructed with three modules: opponent policy recognition and generation, opponent policy space reconstruction,and opponent exploitation. It is expected to provide theoretical and methodological reference for opponent modeling in multi-agent game confrontation. Table and Figures | Reference | Related Articles | Metrics

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Application of Virtual-Real Simulation in Military Field Mao Ziquan, Gao Jialong, Gong Jianxing, Liu Quan Journal of System Simulation    2023, 35 (11): 2289-2311.   DOI: 10.16182/j.issn1004731x.joss.22-0672 Abstract （1559）   HTML （466）    PDF（pc） （1673KB）（2602）       Knowledge map    Save The definition and content of the virtual-real simulation are presented. According to different technical ideas, the development status and existing problems of virtual-real simulation are summarized from three aspects of digital twin, live-virtual-constructive (LVC) simulation, and parallel system. The similarities and differences, as well as the advantages and disadvantages of the three methods are analyzed and compared, and their main application fields are discussed. In order to deal with difficulties encountered in military training, operational tests, equipment development, and equipment maintenance, a solution based on virtual-real simulation is proposed by means of theoretical guidance, case comparison, and transfer and application. In view of the requirements of high fidelity, confidentiality, and security of relevant equipment and tests in the military field, the future development direction of virtual-real simulation is proposed. Table and Figures | Reference | Related Articles | Metrics

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Estimation of the Berthing Parameter of Unmanned Surface Vessels Based on 3D LiDAR Wang Haichao, Yin Yong, Jing Qianfeng, Cong Lin Journal of System Simulation    2024, 36 (8): 1737-1748.   DOI: 10.16182/j.issn1004731x.joss.24-0262 Abstract （6733）   HTML （2540）    PDF（pc） （4470KB）（2526）       Knowledge map    Save Accurate estimation of berthing parameters is a prerequisite for unmanned surface vessel autonomous berthing. A method for berthing parameter estimation is proposed based on shipborne 3D LiDAR. The method consists of two main modules: ship pose estimation and berthing state estimation. In the berthing position estimation module, raw point cloud data undergoes preprocessing algorithms aims at downsampling and removing outliers. Point cloud registration algorithms are employed to determine the vessel's position during the berthing process. The berthing state estimation module extracts berth boundary information by using the MSAC algorithm, and on the basis of this information, calculates the berthing parameters. Experimental analysis results show that the ship pose information and berthing parameter information obtained by the algorithm are consistent with reality. The average berthing distance error is less than 0.023 m, and the average angle error is less than 0.26°, which verifies the accuracy and rationality of this berthing parameter estimation algorithm. Table and Figures | Reference | Related Articles | Metrics

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Research Progress of Opponent Modeling Based on Deep Reinforcement Learning Haotian Xu, Long Qin, Junjie Zeng, Yue Hu, Qi Zhang Journal of System Simulation    2023, 35 (4): 671-694.   DOI: 10.16182/j.issn1004731x.joss.22-0555 Abstract （1268）   HTML （529）    PDF（pc） （856KB）（2374）       Knowledge map    Save Deep reinforcement learning is an agent modeling method with both deep learning feature extraction ability and reinforcement learning sequence decision-making ability, which can make up for the depleted non-stationary adaptation, complex feature selection and insufficient state-space representation ability of traditional opponent modeling. The deep reinforcement learning-based opponent modeling methods are divided into two categories, explicit modeling and implicit modeling, and the corresponding theories, models, algorithms and applicable scenarios are sorted out according to the categories. The applications of deep reinforcement learning-based opponent modeling techniques on different fields are introduced. The key problems and future development are summarized to provide a comprehensive research review for the deep reinforcement learning-based opponent modeling methods. Table and Figures | Reference | Related Articles | Metrics

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Thinking of Aerospace Equipment Systematization Simulation Technology Development Bao Weimin, Qi Zhenqiang Journal of System Simulation    2024, 36 (6): 1257-1272.   DOI: 10.16182/j.issn1004731x.joss.24-0548 Abstract （2798）   HTML （957）    PDF（pc） （6596KB）（2313）       Knowledge map    Save The aerospace field is flourishing in the new era. Aerospace equipment presents new characteristics such as systematization, new quality, high efficiency and intelligence. Simulation technology plays a more important role in the digital aerospace era as a means of enhancing efficiency and empowerment covering all stages of the entire lifecycle, including project demonstration, research and development, testing, manufacturing, training, and maintenance. The conception of aerospace equipment systematization simulation technology is introduced, the current development status and practices at home and abroad are elaborated, and the future development trends and challenges of aerospace equipment systematization simulation technology are evaluated. Focusing on the systematic development of aerospace simulation technology, on the basis of key breakthroughs and evolving promotion, the development ideas are proposed from the dimensions of technical system, supporting applications, and utility evolution. The contribution of the emerging hotspots such as artificial intelligence, big data, virtual reality, and digital technology to the development of aerospace equipment systematization simulation is discussed. Table and Figures | Reference | Related Articles | Metrics

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UAV Path Planning Based on Improved Harris Hawk Algorithm and B-spline Curve Huang Zhifeng, Liu Yuanhua Journal of System Simulation    2024, 36 (7): 1509-1524.   DOI: 10.16182/j.issn1004731x.joss.23-0403 Abstract （5681）   HTML （2264）    PDF（pc） （6057KB）（2305）       Knowledge map    Save Aiming at the global path planning problem of unmanned aerial vehicles (UAVs) in dynamic environments, this paper proposes an improved Harris Hawk optimization algorithm. To address the problem of insufficient search performance in the later stage of the algorithm, an adaptive chaos and core population dynamic partitioning strategy is proposed to improve the searchability of the algorithm in the later stage. The Harris Hawk update formula is modified, and the golden sine strategy is introduced to improve the search efficiency of the algorithm. Then, an adaptive dynamic cloud optimal solution perturbation strategy is integrated to improve the ability of the algorithm to jump out of the local extremum. For the three-dimensional grid path planning problem, a valuation function is established. By calculating the cost of reaching the endpoint for each grid, the algorithm is aided in filtering nodes, allowing it to search for a shorter path. For the problem of the non-smooth path, the path angle is processed by using the cubic B-spline curvefor three times to make the path more suitable for UAV flight. The effectiveness of the improved algorithm is validated by simulation experiments on international standard test functions and static and dynamic grid maps of varying sizes and complexity. The experimental results demonstrate that the proposed algorithm significantly outperforms the control group algorithm. On average, the planned path is shortened by 14.94% and the number of corners is reduced by 53.31%. Table and Figures | Reference | Related Articles | Metrics

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Modeling and System Realization of Assembly Robot Based on Digital Twin Jian Xu, Xin Song, Xiuping Liu, Bo Chen, Huanying Yan Journal of System Simulation    2023, 35 (7): 1497-1507.   DOI: 10.16182/j.issn1004731x.joss.22-0272 Abstract （751）   HTML （54）    PDF（pc） （2979KB）（2305）       Knowledge map    Save Aiming at the problems of time-consuming, labor-intensive and poor accuracy in programming of complex operations of industrial assembly robots, an online programming method for robots based on digital twin is proposed. From the four dimensions of geometry, contact dynamics, behavior and rules, the faithful mapping of the robot from real to virtual space is realized. The verification of multi-part assembly trajectory planning program, real-time synchronous operation and state monitoring are realized. An assembly robot modeling and online programming system based on digital twin is designed and built. A six-axis industrial robot cell is taken as an example to verify the practicality and accuracy of the system, which provides a new solution for complex assembly robot programming. Table and Figures | Reference | Related Articles | Metrics

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Review on Ecological Construction of Domestic High-performance Parallel Application Software in Post Moore Era Chunye Gong, Jie Liu, Weimin Bao, Dongmei Pan, Xinbiao Gan, Shengguo Li, Xuguang Chen, Tiaojie Xiao, Bo Yang, Ruibo Wang Journal of System Simulation    2022, 34 (10): 2107-2118.   DOI: 10.16182/j.issn1004731x.joss.21-1365 Abstract （1638）   HTML （731）    PDF（pc） （2724KB）（2190）       Knowledge map    Save Domestic high performance computing (HPC) system is world-leading and the system chip architectures are in varied forms. The system operation relied on National Supercomputing Center has a good development trend. Several technical key points of domestic high-performance parallel application software are word-leading and the application supporting environment is developing fast. But industrial software and team building are facing huge challenges. In post Moore era, based on the progress of human civilization, it is necessary to promote the ecological development of parallel application software, and from the viewpoint of software products the industrial software must be aim foreign commercial software at all aspects. The application software cloud, the collaborative optimization of software, hardware and the domain-oriented custom chip architecture and compiler should be concerned. The open source mode, protecting intellectual property right and expert evaluation should be kept pace with the times to ensure the prosperity of the application software ecology. Table and Figures | Reference | Related Articles | Metrics

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Research Advances on Electric Vehicle Routing Problem Models and Algorithms Zhuang Helin, Xia Xiaoyun, Li Kangshun, Chen Zefeng, Zhang Xianchao Journal of System Simulation    2024, 36 (2): 320-337.   DOI: 10.16182/j.issn1004731x.joss.22-1161 Abstract （680）   HTML （44）    PDF（pc） （2160KB）（2160）       Knowledge map    Save The development of electric vehicle provides an alternative to conventional fuel vehicles for logistics companies. Using electric vehicles has the merits of less pollution and low noise, but the characteristics of limited cruising range and limited number of charging stations are new challenges. Electric vehicle routing problems(EVRPs) have been widely used in transportation, logistics and other fields, and have received much attention. A comprehensive survey of EVRP and its many variants are presented and the respective backgrounds and applicable conditions are analyzed. The solving approaches of EVRPs are categorized, the strengths and weaknesses of each algorithm are analyzed, and the related practical applications are reviewed. The basic information and some node distribution maps of EVRP benchmark dataset and EVRP with time windows benchmark dataset are given, and the algorithms that have been applied in EVRP benchmark dataset are compared and analyzed. The future development trends of EVRPs is depicted. Table and Figures | Reference | Related Articles | Metrics

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Metaverse Concept and Its Military Application Tan Zhao, Lin Wu, JiuYang Tao, Shuai Li Journal of System Simulation    2023, 35 (7): 1405-1420.   DOI: 10.16182/j.issn1004731x.joss.23-0722 Abstract （1738）   HTML （590）    PDF（pc） （2491KB）（2040）       Knowledge map    Save Metaverse is a concept describing the fusion and interaction between virtual and real, which has become popular in business and academia since 2021. The aim is to study possible applications of metaverse in military. We sort out the definition, characteristics and development of this concept. Then we analyze the necessity of using the concept of military metaverse from the expansion of modeling and simulation(M&S) and live-virtual-constructive(LVC) simulation. And then we study the possible improvements of the military metaverse from the actual needs of military training, operation and information resource management. We sort out the prototype products of the military metaverse under development and analyze their typical development methods. Table and Figures | Reference | Related Articles | Metrics

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A Cyber-physical Integrated Modeling Method Oriented for Motion Simulation of Complex Systems Wenzheng Liu, Heming Zhang Journal of System Simulation    2022, 34 (5): 954-963.   DOI: 10.16182/j.issn1004731x.joss.22-0097 Abstract （2272）   HTML （221）    PDF（pc） （4294KB）（1929）       Knowledge map    Save The traditional virtual modeling of motion simulation lacks the dynamic modeling of cyber subsystems and physical subsystems in complex systems. The advantages of the traditional kinematic virtual modeling and cyber calculation are combined, and aiming at the problem that the accuracy and real-time property of motion simulation cannot meet the actual industrial manufacturing requirements, a cyber physical integrated modeling method for the motion simulation of complex systems is proposed. The inconsistency between real robotic driving and virtual robot motion is solved, which is verified by a case study of mechanical arm motion control. A virtuality-reality mapping platform for complex system motion simulation is built, which integrates the modeling environment CoppeliaSim, together with actual robot feedback of motion and mapping model of simulated-actual robot motion, to obtain the unique pose solution of the motion equation. Experimental results show that the proposed method can realize real-time motion simulation of industrial robot. Table and Figures | Reference | Related Articles | Metrics

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Opto-mechanical-thermal Coupling Analysis Method and Implementation of High-precision Optical System Liang Zhao, Zhigang Zhang, Yao Sun Journal of System Simulation    2023, 35 (6): 1381-1394.   DOI: 10.16182/j.issn1004731x.joss.23-0092 Abstract （594）   HTML （10）    PDF（pc） （4679KB）（1880）       Knowledge map    Save High-precision optical system is easy to be affected by space environment. Under the condition of high temperature, structural load, etc., the image quality of the optical system becomes poor, and the opto-mechanical-thermal coupling analysis is needed. Due to the independent development of the optical simulation, structure simulation, thermal simulation and others, the simulation data can not be effectively coupled and transferred. An interdisciplinary coupling analysis method is proposed, in which the integrated analysis idea is adopted and the polynomial fitting is used as the interface to solve the irregular deformation of optical element surface. Through the implement of the best fitting rigid body displacement, the best fitting radius of curvature, polynomial fitting, etc., the coupling analysis between finite element analysis tool and optical analysis tool is realized. Taking Cassegrain system as the test object, the effectiveness of the method is verified. The method provides a reference to the optical performance evaluation of the optical-mechanical system and the design optimization of the system under extreme conditions. Table and Figures | Reference | Related Articles | Metrics

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Development Opportunities and Application Prospects of Aero-Engine Simulation Technology under Digital Transformation Jianguo Cao Journal of System Simulation    2023, 35 (1): 1-10.   DOI: 10.16182/j.issn1004731x.joss.23-0040 Abstract （1956）   HTML （652）    PDF（pc） （1481KB）（1765）       Knowledge map    Save The development of China's social economy and the improvement of its national defense capability in the new era put forward higher requirements for the development of aero-engines. It is urgent to promote the digital transformation of aero-engines in order to achieve coordinated, agile and efficient aero-engine development. Based on the current research and development of aero-engine in China, this paper clarifies the new connotation of "speediness and efficiency, accurate mapping, comprehensive coverage, and dynamic prediction" given by the development of emerging cutting-edge technologies to aero-engine simulation technology, as well as the new technical features of "spatio-temporal ubiquity, data driven, dynamic evolution, standardization and controllability, intelligence and high-efficiency". The technical framework of aero-engine simulation is put forward and analyzed, which is characterized by "full coverage of applications, efficient transmission of data, and full penetration of models". It also discussed the opportunities brought by the development of digital transformation in aero-engine simulation including authoritative data source construction, whole system model digital thread, fast numerical calculation, simulation credibility evaluation and dynamic evolution of the whole simulation process. The prospect of further application of aero-engine simulation technology in aero-engine development stage, such as requirement demonstration, collaborative development, operation and maintenance, is proposed under the digital transformation. Table and Figures | Reference | Related Articles | Metrics

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Cloud-Edge Collaborative Service Architecture for LVC Training System Peng Yong, Zhang Miao, Hu Yue Journal of System Simulation    2023, 35 (9): 1825-1836.   DOI: 10.16182/j.issn1004731x.joss.23-0681 Abstract （1797）   HTML （777）    PDF（pc） （1466KB）（1729）       Knowledge map    Save LVC training, an important means of military training, has received great attention from military and M&S experts. As the virtual and physical elements become more abundant and deeply integrated, LVC training systems become increasingly complex. Aiming at physical-virtual connection, information interaction, simulation computation, run-time control, etc., this paper designs a cloud-edge collaborative service architecture for LVC training systems (CESA-LVC) by reference to cyber-physical systems and cloud-edge computing architectures. CESA-LVC standardizes the structures of LVC training systems from several aspects of intelligent real-time interconnection, joint simulation computation, training auxiliary service, training cognitive decision, and dynamic configuration optimization. It provides a reference model for the design and development of a service-oriented, flexible deployment, and efficient LVC training system. The paper discusses the key technical problems of joint simulation computation, complex network communication, and complex system control. The prototype system for LVC training spanning three provincial-level regions is realized, and the main indicators of each level of CESA-LVC architecture are verified, which proves the rationality of the architecture design. Table and Figures | Reference | Related Articles | Metrics

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Improved Particle Swarm Algorithm of Unrelated Parallel Batch Scheduling Optimization Lizhen Du, Tao Ye, Yuhao Wang, Yajun Zhang, Zifeng Xuan Journal of System Simulation    2023, 35 (7): 1549-1561.   DOI: 10.16182/j.issn1004731x.joss.22-0367 Abstract （273）   HTML （6）    PDF（pc） （983KB）（1689）       Knowledge map    Save To address the problems of population diversity loss and the tendency to fall into local optimality in the PSO (particle swarm optimization)algorithm in dealing with unrelated parallel batch scheduling problems, an improved scheduling optimization algorithm for PSO is proposed for minimizing the maximum completion time solution. A real number encoding based on the sequence of artifacts is used for the encoding operation. A new strategy based on J_B local search is designed based on the mixed integer programming model of the problem. The Metropolis criterion of the simulated annealing algorithm isintroduced into the individual extreme value search of the population particles.The performance of the algorithm is tested with randomly generated small,medium and large instances and compared with proposed metaheuristic for this scheduling problem and three other metaheuristics.The experimental results and statistical tests shows that the algorithm performs significantly better than the comparison algorithm. Table and Figures | Reference | Related Articles | Metrics

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Simulation Verification and Decision-making Key Technologies of Unmanned Swarm Game Confrontation: A Survey Liang Xiaolong, Yang Aiwu, Zhang Jiaqiang, Hou Yueqi, Wang Ning, Huang Xiao, Gong Junbin Journal of System Simulation    2024, 36 (4): 805-816.   DOI: 10.16182/j.issn1004731x.joss.23-0072 Abstract （687）   HTML （55）    PDF（pc） （3089KB）（1689）       Knowledge map    Save Unmanned swarm game confrontation is a new combat mode and plays a crucial role in intelligent warfare. Its core is the autonomous generation of a series of game confrontation decision sequences to "empower" the swarm. The progress of system simulation verification for the unmanned swarm game confrontation is analyzed. The key technologies of the autonomous decision-making are discussed from three aspects, technology based on expert systems and game theory, technology based on swarm intelligence and optimization theory, and technology based on neural networks and reinforcement learning. The key technology research conducted by the author's team on the autonomous decision-making is presented. The development directions of the unmanned swarm game confrontation are proposed. Table and Figures | Reference | Related Articles | Metrics

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Development of Combat Concept of Intelligent Land Assault System Based on DoDAF Wang Can, Ji Haoran, Guo Qisheng, Dong Zhiming, Tan Yaxin, Mu Ge Journal of System Simulation    2023, 35 (11): 2397-2409.   DOI: 10.16182/j.issn1004731x.joss.22-0628 Abstract （462）   HTML （22）    PDF（pc） （3012KB）（1556）       Knowledge map    Save In view of military demand traction in the development of land assault equipment, a combat concept of land assault systems for future intelligent combat is developed. Basedon the definition of relevant concepts and research boundaries, the combat concept model framework and modeling steps are proposed based on DoDAF, and the combat effect, combat process, combat nodes, resource interaction, system composition, and capability characteristics are analyzed in combination with the model description. The combat concept verification is carried out from the aspects of system combat efficiency and communication load by simulation experiments. The results show that the intelligent assault system has more agile strike links and stronger firepower strike capability than the traditional assault equipment, and the new communication load pressure is within the current technical capacity support range. It proves that the selection, allocation, and combat mode of the core executor system in the combat concept are reasonable and feasible, which has reference significance for the subsequent development of equipment. Table and Figures | Reference | Related Articles | Metrics

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Research on Nested Named Entity Recognition in Missile Field Text Jingwen Guan, Xiao Song, Xiaoqing Li, Tong Yang, Junhua Zhou Journal of System Simulation    2023, 35 (8): 1757-1767.   DOI: 10.16182/j.issn1004731x.joss.22-0456 Abstract （326）   HTML （10）    PDF（pc） （926KB）（1549）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics

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Image Dehazing Network Based on Densely Connected Residual Block and Channel Pixel Attention Weidong Jin, Shuli Zhang, Peng Tang, Man Zhang Journal of System Simulation    2022, 34 (8): 1663-1673.   DOI: 10.16182/j.issn1004731x.joss.21-1160 Abstract （2420）   HTML （1256）    PDF（pc） （4691KB）（1529）       Knowledge map    Save Abstruct: A lot of research achievements have been made in image dehazing based on neural network,but there aiming at the fog residue, even the color distortion and texture loss, in complex outdoor image dehazing, an image dehazing network based on densely connected residual block and channel pixel attention is proposed. Densely connected residual blocks are used to extract and fuse the features of foggy images,and the repair module with channel pixel attention mechanism is used to repair the color and texture of the feature maps. The experimental results show that, compared with the existing methods, the proposed method and significantly improves the objective evaluation index and subjective visual quality, effectively avoid the color distortion, texture loss and residual fog in the process of image dehazing. Table and Figures | Reference | Related Articles | Metrics

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Handling Constrained Multi-objective Optimization Problems Based on Relationship Between Pareto Fronts Wang Yubo, Hu Chengyu, Gong Wenyin Journal of System Simulation    2024, 36 (4): 901-914.   DOI: 10.16182/j.issn1004731x.joss.22-1430 Abstract （371）   HTML （16）    PDF（pc） （747KB）（1477）       Knowledge map    Save To address the challenges of balancing the constraint satisfaction and objective function optimization, and dealing with the complex feasible regions in constrained multi-objective optimization problems(CMOPs), a classification-based search approach is proposed based on different Pareto front relationships. A dual-population dual-phase framework is proposed in which an auxiliary population Pa and a main population Pm are evolved and the evolution process is divided into a learning phase and a search phase. During the learning phase, Pa explores unconstrained Pareto front (UPF) and Pm explores constrained Pareto front(CPF), through which the relationship between UPF and CPF is determined. After completing the learning phase, the different classified relationships guide the subsequent search strategies. In the search phase, the algorithm adaptively adjusts the search strategy of Pa to provide effective assistance for Pm according to the different classification relationships between UPF and CPF. Based on this framework, Pareto front relationships for different CMOPs are classified to achieve the more effective searching for CPF. Experimental results show that the proposed algorithm has a better performance compared with the seven state-of-the-art constrained multi-objective evolutionary algorithms (CMOEAs). Through learning and utilizing the relationship between UPF and CPF, the more appropriate search strategies can be selected to handle CMOPs with different characteristics and a more advantageous final solution set can be got. Table and Figures | Reference | Related Articles | Metrics

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Research on Theoretical Framework of Simulative Experiment Evalution for Intelligent Unmanned Swarm Cooperation Wang Jipeng, Zhang Xing, Wu Hao, Gu Yu, Yang Huijie Journal of System Simulation    2024, 36 (4): 795-804.   DOI: 10.16182/j.issn1004731x.joss.23-0070 Abstract （507）   HTML （44）    PDF（pc） （2903KB）（1447）       Knowledge map    Save As a typical representative of intelligent equipment, the technology, equipment and combat applications of intelligent unmanned swarm are being promoted globally. However, the research on experimental theory of unmanned swarm lags behind the technology and equipment in general. The emergence of swarm ability and complexity of confrontation of unmanned swarm, the nonrepeatability and non-generalization of swam experiment take great challenge to the basic theory and methods of unmanned swarm. The four experimental models including intelligent technology, intelligent equipment, intelligent swarm, and intelligent sos(system of systems) experiment from the perspective of system engineering and the whole life cycle of equipment construction management are proposed. The basic theory of unmanned swarm experiment is analyzed, and the basic theoretical framework of autonomous cooperative experiment of unmanned swarm is constructed. Table and Figures | Reference | Related Articles | Metrics

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Research and Application Progress of Tracking Registration Methods in AR Assembly Wei Fang, Shuhong Xu, Lei Han, Zhangwenchi Li Journal of System Simulation    2023, 35 (7): 1438-1454.   DOI: 10.16182/j.issn1004731x.joss.22-0335 Abstract （1129）   HTML （69）    PDF（pc） （3147KB）（1436）       Knowledge map    Save Augmented reality (AR) can superimpose virtual auxiliary information in appropriate positions at the actual work site to achieve intelligent assembly guidance of "what you see is what you operate", alleviating the difficulties for workers to recognize drawings in traditional drawing-based assembly and the problems of misassembly, missing parts and so on. Stable tracking registration in the assembly site environment is the basis for achieving the fusion of virtual and actual scene in augmented assembly visual guidance, and also a key issue in the practical application and deployment of existing augmented assembly. In view of the research and application results in tracking and registration for AR-assisted assembly in recent years at home and abroad, this paper systematically analyzes the current research status of three different augmented assembly tracking registration methods based on vision, sensors and hybrids. The limitations of existing tracking registration methods in AR augmented assembly aids and application development trends are summarized. It is meaningful to refer for the subsequent construction and research of AR intelligent assembly systems. Table and Figures | Reference | Related Articles | Metrics

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Simulation of Real-Time Path Planning and Formation Control for Unmanned Surface Vessel Dalei Song, Wenhao Gan, Yingzhi Xu, Xiuqing Qu, Jiangli Cao Journal of System Simulation    2023, 35 (5): 957-970.   DOI: 10.16182/j.issn1004731x.joss.22-0002 Abstract （1044）   HTML （52）    PDF（pc） （6598KB）（1433）       Knowledge map    Save Safety and collision-free navigation are the basis of normal navigation of an unmanned surface vessel. The high-fidelity virtual ocean is constructed by using Unity3D.On the basis of the vessel modeling, a real-time path planning and formation control method for unknown complex environments is proposed. Firstly, the local environment information is obtained by the laser sensor. Then the real-time local path planning is completed by combining A-star and route-thinning methods under the replanning strategy. In addition, formation control is carried out based on the leader-follower strategy and consistency method, and the artificial potential field is used to complete the navigation task of the unmanned surface vessel in terms ofobstacle avoidance. The simulation experiments on various complex scenarios show that the system has excellent authenticity and visual effects and provides an effective means for simulating vessel navigation. At the same time, based on the proposed algorithm, the vessel fleet can arrive at the preset waypoints successively and independently change the formation to avoid obstacles in real-time, which has certain theoretical significance and practicability in engineering applications. Table and Figures | Reference | Related Articles | Metrics

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Military Metaverse: Key Technologies, Potential Applications and Future Directions Zhao Zhang, Yujie Guo, Xiaoning Zhao, Baoliang Sun, Shuanghou Deng, Guoxu Feng Journal of System Simulation    2023, 35 (7): 1421-1437.   DOI: 10.16182/j.issn1004731x.joss.23-0104 Abstract （1493）   HTML （104）    PDF（pc） （3118KB）（1430）       Knowledge map    Save Since its emergence, the concept of metaverse has been applied to many fields. At present, the transformation of military intelligence, digitalization and information technology is advancing in an all-round way. The military enabled by metaverse technology will accelerate the process of military reform in the new era. To explore the potential application of metaverse in the military field, this paper first introduces several key technologies of metaverse and their functions in the military field, and then discusses some potential directions for the application of metaverse in weapon development and support, training and teaching of officers and soldiers, tactical command and situational awareness, systematic cooperative operations. The challenges in the current and future development of the military metaverse are considered, and its future development and application are discussed. Table and Figures | Reference | Related Articles | Metrics

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Multi-agent Cooperative Combat Simulation in Naval Battlefield with Reinforcement Learning Ding Shi, Xuefeng Yan, Lina Gong, Jingxuan Zhang, Donghai Guan, Mingqiang Wei Journal of System Simulation    2023, 35 (4): 786-796.   DOI: 10.16182/j.issn1004731x.joss.21-1321 Abstract （867）   HTML （53）    PDF（pc） （1690KB）（1428）       Knowledge map    Save Due to the rapidly-changed situations of future naval battlefields, it is urgent to realize the high-quality combat simulation in naval battlefields based on artificial intelligence to comprehensively optimize and improve the combat effectiveness of our army and defeat the enemy. The collaboration of combat units is the key point and how to realize the balanced decision-making among multiple agents is the first task. Based on decoupling priority experience replay mechanism and attention mechanism, a multi-agent reinforcement learning-based cooperative combat simulation (MARL-CCSA) network is proposed. Based on the expert experience, a multi-scale reward function is designed, on which a naval battlefield combat simulation environment is constructed. The proposed multi-scale reward function could speedthe convergence of multiple agents. The feasibility and practicability of MARL-CCSA is verified by the simulation experiment and the comparison with the other methods. Table and Figures | Reference | Related Articles | Metrics

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Multi-robot Path Planning Based on CBS Algorithm Qiao Qiao, Yan Wang, Zhicheng Ji Journal of System Simulation    2022, 34 (12): 2659-2669.   DOI: 10.16182/j.issn1004731x.joss.22-FZ0926 Abstract （1142）   HTML （52）    PDF（pc） （2164KB）（1415）       Knowledge map    Save Aiming at the long multi-robot planning path and long one-way search running time of conflict-based search(CBS) in the multi-agent path finding(MAPF), an improved CBS algorithm is proposed, which in a two-way A* focus search is used to optimize the search direction and search method. The suboptimal factor\omegais introduced into the underlying search function of the CBS algorithm to improve the efficiency of path search. The one-way search in the conflict search algorithm is optimized to a two-way A* search. The experimental results show that the path cost of the improved CBS algorithm is shortened by 14.82%, and the total running time is shortened by 10.63%. Table and Figures | Reference | Related Articles | Metrics

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Research on High-performance Emulation Technology of Starlink Constellation Based on Cloud Platform Yuan Liu, Xinyi Xue, Xiaofeng Wang Journal of System Simulation    2022, 34 (10): 2221-2232.   DOI: 10.16182/j.issn1004731x.joss.21-0701 Abstract （1012）   HTML （36）    PDF（pc） （3206KB）（1415）       Knowledge map    Save Network emulation on Starlink constellation is an important verification and evaluation tool for the design and construction of low earth orbit constellations in the future. Aiming at the characteristics of large-scale and complex structure of the Starlink network, a high-performance satellite network emulation system is designed. Based on the distributed network emulation architecture of cloud platform, through the development of STK Engine underlying interface, satellite model library storage optimization and asynchronous message transmission technology, the rapid deployment of Starlink constellation is carried out, and has good scalability. The experimental results show that the proposed method can carry out the automated modeling of a complex satellite network of 400 satellites. Compared with the traditional method, the deployment efficiency is improved by 39.07%. The method is an emulation technical support for the construction of large-scale low earth orbit satellites. Table and Figures | Reference | Related Articles | Metrics

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Dynamic Path Planning for Mobile Robot Based on RRT* and Dynamic Window Approach Zhang Rui, Zhou Li, Liu Zhengyang Journal of System Simulation    2024, 36 (4): 957-968.   DOI: 10.16182/j.issn1004731x.joss.22-1543 Abstract （720）   HTML （41）    PDF（pc） （2871KB）（1407）       Knowledge map    Save A dynamic path planning method combining RRT* and dynamic window approach(DWA) is proposed to realize the obstacle avoidance of mobile robot in complex environment of dynamic obstacles. Improved RRT* algorithm is used to generate the global optimal safe path based on the known environment information. By eliminating the dangerous nodes generated by RRT* algorithm, the security of global path is ensured.Greedy algorithm is used to remove the redundant nodes in the path to reduce the length of global path. DWA is used to track along the global optimal path planned by the improved RRT* algorithm. When static obstacles appear on the global path, the weights of DWA algorithm evaluation function is adjusted twice to avoid the obstacles and return to the original path in time. When moving obstacles is in the environment. By detecting the dangerous distance in advance, changing direction and speeding up, the robot can safely drive away from the area. Simulation experiments verify that the improved fusion algorithm proposed in complex dynamic environment has shorter running time, smaller path cost, and always keeps safe distance from obstacles, which ensures the optimal tracked path while safely avoiding the dynamic obstacles. Table and Figures | Reference | Related Articles | Metrics

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Development of Vehicle Dynamics Virtual Simulation System Based on CarSim Jianlei Liu, Xuejian Jiao, Huaiqian Wang Journal of System Simulation    2022, 34 (8): 1847-1854.   DOI: 10.16182/j.issn1004731x.joss.21-0300 Abstract （895）   HTML （29）    PDF（pc） （2935KB）（1388）       Knowledge map    Save Aiming at the "high cost, high consumption and high risk" of real vehicle test, a virtual simulation system of vehicle dynamics based on CarSim is developed. The real-time vehicle model is created by CarSim. A virtual scene is built in Unity3D, and an active stereoscopic display technology is used to realize the 3D visual effects. The driver's operation information is collected by simulating the steering wheel of Fanatec racing car and LabView, and the vehicle dynamics model is solved in NI-Pxie8840 controller to ensure the real-time operation. The calculated data is fed back to the driver through the six-degree-of-freedom motion platform. The results show that the virtual vehicle can follow the driver's intention, and the system has sensitive response, safe operating environment, better immersive feeling, accurate and reliable test data, which is conducive to the design and development of automobiles. Table and Figures | Reference | Related Articles | Metrics

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Research on Collaborative Optimization Method of Multi-UAV Task Allocation and Path Planning Xiao Peng, Xie Feng, Ni Haihong, Zhang Min, Tang Zhili, Li Ni Journal of System Simulation    2024, 36 (5): 1141-1151.   DOI: 10.16182/j.issn1004731x.joss.23-0012 Abstract （538）   HTML （8）    PDF（pc） （2505KB）（1368）       Knowledge map    Save Aiming at the task requirements of multi-UAV to perform multi-target collaborative reconnaissance, a collaborative optimization method of multi-machine and multi-objective task allocation and path planning is proposed. Based on the partheno genetic algorithms (PGA), a cost function combined with the actual path cost is constructed through the Dubins curve. To further reduce the calculation cost, a clustering algorithm based on UAV detection distance is proposed, and the generated clustering point is used as a new waypoint of UAV. The simulation results show that considering the dangerous area and the large number of reconnaissance points, the algorithm can effectively complete the reconnaissance task allocation of the UAV and at the same time form a preliminary route. It improves the rationality and convergence speed of task assignment, and reduces the overall cost. Table and Figures | Reference | Related Articles | Metrics

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Demand Forecasting Method of Emergency Materials Based on Metabolic Gray Markov Long Ma, Baodong Qin, Na Lu, Meng Kou Journal of System Simulation    2023, 35 (2): 229-240.   DOI: 10.16182/j.issn1004731x.joss.21-0874 Abstract （1201）   HTML （857）    PDF（pc） （1675KB）（1352）       Knowledge map    Save In order to improve the prediction accuracy of the demand for emergency materials of people affected by the disaster, a forecasting method based on metabolism-gray Markov's is proposed. To realize the dynamic prediction of the number of people affected by the disaster, according to demand forecast ideas, the prediction model of metabolism-gray Markov fused is constructed progressively through gray, Markov and metabolism theories. A flexible demand forecasting model for emergency supplies is built through safety stock theory to complete the balance of supply and demand between people number and the materials demand. The prediction results of different models show that the relative error of the proposed prediction model is 0.002 1% smaller better than other models, and the prediction accuracy is significantly better than that of the gray model, in which the prediction of the number of people affected by disasters and the demand for emergency supplies have a higher fit degree. Table and Figures | Reference | Related Articles | Metrics

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Multi-Objective Optimization Configuration of AGV System Based on Response Surface and NSGA-II Jianlin Fu, Guofu Ding, Jian Zhang, Haifan Jiang, Peipei Guo Journal of System Simulation    2022, 34 (5): 994-1002.   DOI: 10.16182/j.issn1004731x.joss.20-0908 Abstract （1835）   HTML （103）    PDF（pc） （685KB）（1334）       Knowledge map    Save Automated guided vehicle(AGV) system plays an important role in the production flexibility and efficiency in manufacturing systems. Due to the dynamic and stochastic characteristics of AGV system with many variables, its optimal configuration is relatively complex. A method combining system simulation, mathematical analysis and multi-objective optimization is proposed to optimize the configuration of AGV system. The discrete event simulation is used to simulate the operation of AGV system, the sensitivity analysis is used to separate design variables, the factorial experiments and response surface methods are used to build the fitting multi-objective optimization mathematical model, and the non-dominated sorting genetic algorithm-II(NSGA-II) is used to solve the multi-objective optimization problem. The effectiveness of the method is proved by an industrial case study, which provides an effective systematic analysis method for the optimal configuration of AGV system in manufacturing or logistics systems. Table and Figures | Reference | Related Articles | Metrics

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Digital Twin Modeling and Control of Robots for Intelligent Manufacturing Scenarios Li Ying, Gao Lan, Zhu Zhisong Journal of System Simulation    2024, 36 (7): 1536-1545.   DOI: 10.16182/j.issn1004731x.joss.23-0481 Abstract （4033）   HTML （290）    PDF（pc） （5342KB）（1331）       Knowledge map    Save The introduction of Industry 4.0 and the Made in China 2025 development policy has accelerated the transformation of the manufacturing industry from automation to intelligence. Industrial robots, as the representative equipment of intelligent manufacturing, will also become more intelligent. Based on digital twin technology, digital modeling, and simulation debugging are conducted for such problems as interference and collision, tedious operation, and low efficiency of industrial robot spot welding debugging in production. Process Simulate from TECNOMATIX software is utilized to digitally model the robot spot welding station and define its motion, and TIA Portal and S7-PLCSIM Advanced are applied to build a virtual simulation and commissioning environment to realize multi-robot cooperative work at the processing station controlled by an external virtual PLC. The simulation results show that the robot can reach all working points during the motion and the joint speed is always kept within a reasonable range, which meets the requirements of safety and stability in the actual production process. At the same time, the robot spot welding station simulation by digital twin technology can find product defects in time, shorten the debugging cycle, and reduce the cost. Table and Figures | Reference | Related Articles | Metrics

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Robot Path Planning by Fusing Particle Swarm Algorithm and Improved Grey Wolf Algorithm Menglong Cao, Wenbin Zhao, Zhiqiang Chen Journal of System Simulation    2023, 35 (8): 1768-1775.   DOI: 10.16182/j.issn1004731x.joss.22-0407 Abstract （334）   HTML （15）    PDF（pc） （731KB）（1284）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics

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Intelligent Path Planning for Mobile Robots Based on SAC Algorithm Laiyi Yang, Jing Bi, Haitao Yuan Journal of System Simulation    2023, 35 (8): 1726-1736.   DOI: 10.16182/j.issn1004731x.joss.22-0412 Abstract （601）   HTML （36）    PDF（pc） （2027KB）（1271）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics