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Brief Review on Applying Reinforcement Learning to Job Shop Scheduling Problems Wang Xiaohan, Zhang Lin, Ren Lei, Xie Kunyu, Wang Kunyu, Ye Fei, Chen Zhen Journal of System Simulation    2021, 33 (12): 2782-2791.   DOI: 10.16182/j.issn1004731x.joss.21-FZ0774 Abstract （4338）      PDF（pc） （478KB）（4840）       Knowledge map    Save Reinforcement Learning (RL) achieves lower time response and better model generalization in Job Shop Scheduling Problem (JSSP). To explain the current overall research status of JSSP based on RL, summarize the current scheduling framework based on RL, and lay the foundation for follow-up research, the backgrounds of JSSP and RL are introduced. Two simulation techniques commonly used in JSSP are analyzed and two commonly used frameworks for RL to solve JSSP are given. In addition, some existing challenges are pointed out, and related research progress is introduced from three aspects: direct scheduling, feature representation-based scheduling, and parameter search-based scheduling. Reference | Related Articles | Metrics

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Kernel Block Diagonal Representation Subspace Clustering and Its Convergence Analysis Liu Maoshan, Ji Zhicheng, Wang Yan, Wang Jianfeng Journal of System Simulation    2021, 33 (11): 2533-2544.   DOI: 10.16182/j.issn1004731x.joss.21-0950 Abstract （4051）      PDF（pc） （686KB）（4571）       Knowledge map    Save Focus on the problems that the linear block diagonal representation subspace clustering cannot effectively handle non-linear visual data, and the regular regularizers cannot directly pursue the k-block diagonal matrix, a kernel block diagonal representation subspace clustering is proposed. In the proposed algorithm, the original input space is mapped into the kernel Hilbert space which is linearly separable, and the spectral clustering is performed in the feature space. The convergence analysis is given, and the strong convex of variables and the boundedness of function is utilized to verify the monotonically decreasing of objective function and the boundedness and convergence of the affinity matrix, which breaks through the difficulty of convergence proof. Compared with other algorithms such as the kernel sparse subspace clustering and the block diagonal representation algorithm tested, the algorithm has achieved the lower clustering error and higher normalized mutual information on Extended Yale B, ORL and MVtec ITODD. Reference | Related Articles | Metrics

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Modeling and Simulation of Crowd Multi-perception Behavior Model in Closed Public Places Ma Jun, Hu Jun Journal of System Simulation    2021, 33 (10): 2289-2297.   DOI: 10.16182/j.issn1004731x.joss.21-0757 Abstract （4519）      PDF（pc） （2830KB）（4457）       Knowledge map    Save The social forces-based multi-agent modeling method is used to build the crowd simulation models in most of the existing crowd behavior simulation software systems. From the perspective of cognitive psychology, combined with the spatial logic model of the generalized influence of the crowd obtained by the author’s previous research, and based on the sigmoid function, the mathematical model of the individual visual and auditory perception of the crowd is constructed. Taking the typical subway transfer hall as an example, the objective function of large passenger volume evacuation optimization is established to construct the crowd evacuation simulation model. The simulation results based on the defined scenarios show that the proposed multi-perception behavior model is effective. Reference | Related Articles | Metrics

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An Evolutionary Multi-Objective Simulation Optimization Algorithm for Supply Chain with Uncertain Demands Wang Hongfeng, Zhang Yitian, Chen Jingze Journal of System Simulation    2021, 33 (12): 2761-2770.   DOI: 10.16182/j.issn1004731x.joss.21-0837 Abstract （4551）      PDF（pc） （637KB）（4298）       Knowledge map    Save During the COVID-19 pandemic, supply chain of manufacturing companies is facing more severe product demand uncertainty, which is manifested in the sharp increase in demand for certain types of products and the increased fluctuations in supply for raw materials. For this supply chain optimization problem with demand uncertainty, a multi-objective stochastic programming model is developed in order to maximize the total profit and product order fulfillment rate simultaneously in this paper. For solving the investigated problem, a new evolutionary multi-objective simulation optimization algorithm is proposed by combining the mechanism of NSGA-II and simulation computing budget allocation adaptively. Experimental results show the validity of the presented model and algorithm. Reference | Related Articles | Metrics

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Intelligent Wargaming System: Change Needed by Next Generation Need to be Changed Hu Xiaofeng, Qi Dawei Journal of System Simulation    2021, 33 (9): 1997-2009.   DOI: 10.16182/j.issn1004731x.joss.21-0728 Abstract （3882）      PDF（pc） （1665KB）（4011）       Knowledge map    Save The future direction of wargaming system is intelligent, and the most significant feature of intelligence is the modeling of cognition. The main problems of wargaming system are summarized, the main difficulties of modeling brought by cognition and the overall framework of intelligent wargaming system design are discussed, the technical ways of transformation and upgrading based on the existing wargaming system are given from four aspects of model construction, system design, wargaming ecology and test inspection. It provides direction and reference to the development and construction of the next generation intelligent wargaming system. Reference | Related Articles | Metrics

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High Performance Simulation Method and Test Platform for Full Envelop of Flight Vehicle Wang Jianlin, Chen Sufang, Tie Ming, Liu Jing, Zhang Jun Journal of System Simulation    2021, 33 (10): 2298-2306.   DOI: 10.16182/j.issn1004731x.joss.21-0625 Abstract （3663）      PDF（pc） （1102KB）（3859）       Knowledge map    Save In order to meet the needs of the overall performance simulation and verification of the vehicle with large subsamples and massive states, a high-performance simulation method is proposed, in which a parallel simulation architecture based on high-performance computers is established, the technologies and software such as decoupling of simulation tasks, real-time monitoring of simulation, concurrent conflict control and automatic aggregation of large-scale test results are realized, and a test platform for the large-scale parallel verification of flight performance is developed. Simulation results show that the method has high acceleration ratio and scalability, and can complete the verification efficiently, which not only improves the overall verification and evaluation capability of the vehicle, but also promotes the improvement of the vehicle design. Reference | Related Articles | Metrics

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Research on Supply Chain Recovery Strategy under Disruption Risks Yang Yi, Peng Chen, Yang Yujiu, Wang Yulong Journal of System Simulation    2021, 33 (12): 2771-2781.   DOI: 10.16182/j.issn1004731x.joss.21-0825 Abstract （3905）      PDF（pc） （1266KB）（3717）       Knowledge map    Save Aiming at supply chain disruptions, two effective supply chain recovery strategies are proposed, namely, a supplier’s preset emergency inventory strategy and a manufacturer’s product change strategy, meanwhile, emergency inventory storage cost and products return rate after change are also taken into consideration. In order to maximize the manufacturer’s profit and customer satisfaction, a single-objective model and a bi-objective model are established, respectively. The optimization problems in the two models are transformed into mixed integer programming problems, moreover, corresponding solution algorithms are presented based on ILOG CPLEX. The simulation results show that the disruption recovery strategies proposed can not only help suppliers to reduce losses effectively, but also meet the market demands well. Reference | Related Articles | Metrics

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Research on Simulation and Optimization of Maintenance Support Mode and Human Resources Auocation for Complex Equipment Cao Junhai, Guo Yiming, Zhang Chuang, Guo Qingyi Journal of System Simulation    2021, 33 (10): 2307-2314.   DOI: 10.16182/j.issn1004731x.joss.21-0807 Abstract （3678）      PDF（pc） （1515KB）（3098）       Knowledge map    Save Aiming at the single maintenance support mode of the army’s complex equipment and the strong randomness of human resource allocation, the military-level equipment maintenance process is taken as the research object, the complex equipment maintenance plan, maintenance support mode, human resource configuration, and maintenance process flow are analyzed. The simulation model of a complex equipment maintenance workshop is constructed, the influence of maintenance plans, maintenance support modes, and human resource allocation on indicators of “maintenance support time” and “human resource satisfaction rate” is explored, the internal laws is analyzed and the manpower optimal allocation for the maintenance of military equipment is suggested. The new thinking about the selection of military equipment maintenance support mode and the allocation of maintenance human resources is provided. 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 （2243）   HTML （651）    PDF（pc） （1197KB）（2404）       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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Abroad Wargaming Deduction and System Research Cao Zhanguang, Tao Shuai, Hu Xiaofeng, He Lülong Journal of System Simulation    2021, 33 (9): 2059-2065.   DOI: 10.16182/j.issn1004731x.joss.20-0726 Abstract （3417）      PDF（pc） （191KB）（2340）       Knowledge map    Save 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. Reference | Related Articles | Metrics

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Wargaming Eco-system for Intelligence Growing Wu Lin, Hu Xiaofeng, Tao Jiuyang, He Xiaoyuan Journal of System Simulation    2021, 33 (9): 2048-2058.   DOI: 10.16182/j.issn1004731x.joss.21-0730 Abstract （2400）      PDF（pc） （5187KB）（2215）       Knowledge map    Save 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 digital twins, human-machine integration and symbiosis, sample generation, intelligence testing and evaluation, cloud native and so on, in the construction of an ecological environment for wargaming games are analyzed. Reference | Related Articles | Metrics

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Research on the Issues of Next Generation Wargame System Model Engine Tang Yubo, Shen Bilong, Shi Lei, Yi Xing Journal of System Simulation    2021, 33 (9): 2025-2036.   DOI: 10.16182/j.issn1004731x.joss.21-0735 Abstract （2560）      PDF（pc） （1724KB）（1751）       Knowledge map    Save 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 efficiency is improved are explored. The engine mechanism is provided to support the machine learning, and to achieve the integrated design for distributed hardware environment. Reference | Related Articles | Metrics

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Study on Next-generation Strategic Wargame System Wu Xi, Meng Xianglin, Yang Jingyu Journal of System Simulation    2021, 33 (9): 2017-2024.   DOI: 10.16182/j.issn1004731x.joss.21-0731 Abstract （3294）      PDF（pc） （593KB）（1745）       Knowledge map    Save 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. Reference | Related Articles | Metrics

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New Embedded Simulation Technology for Smart Internet of Things Bohu Li, Xudong Chai, Lin Zhang, Duzheng Qing, Guoqiang Shi, Tingyu Lin, Liqin Guo, Chen Yang, Mu Gu, Zhengxuan Jia, Hui Gong, Zhen Tang Journal of System Simulation    2022, 34 (3): 419-441.   DOI: 10.16182/j.issn1004731x.joss.22-0119 Abstract （11199）   HTML （10483）    PDF（pc） （9566KB）（1723）       Knowledge map    Save Human society in the new development era and journey is facing the new situation. The operation paradigm, technology and ecosystem of industries related to the national economy and people's livelihood、national security are changing significantly towards the digital, networked, cloud-based and intelligent "Smart Internet of Things". The new embedded simulation technology, with the capabilities of online and continuous analysis, cognition, learning, decision-making, operation and optimization,is urgently needed for the development of "Smart Internet of Things". "Smart Internet of Things" is briefly introduced and the connotation, characteristics and application mode of the new embedded simulation technology are proposed and its architecture, technical system and nine key technologies are systematically discussed. The application examples on the industries of intelligent manufacturing, smart city and military intelligence are introduced. The achievements are summarized and the development suggestions are proposed. Table and Figures | Reference | Related Articles | Metrics

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Modeling Research of Cognition Behavior for Intelligent Wargaming He Xiaoyuan, Guo Shengming, Wu Lin, Li Dong, Xu Xiao, Li Li Journal of System Simulation    2021, 33 (9): 2037-2047.   DOI: 10.16182/j.issn1004731x.joss.21-0727 Abstract （2574）      PDF（pc） （4559KB）（1701）       Knowledge map    Save Aiming at the problem of cognitive behavior modeling in the construction and application of intelligent wargaming system, one modeling framework based on Actor-Operations-Scene (AOS) was proposed for C2 agent in wargaming. Then the realization of cognitive behavior modeling method for C2 agent was explored, including the modeling for the scenario oriented knowledge graph, intelligent situation awareness, operational planning, integrated operational control. It provides a feasible scheme for the construction and application of intelligent wargaming system. Reference | Related Articles | Metrics

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Research and Implementation of a High Performance Distributed Object-oriented Simulation Engine Huang Xiaodong, Xie Kongshu Journal of System Simulation    2021, 33 (9): 2215-2226.   DOI: 10.16182/j.issn1004731x.joss.21-0228 Abstract （1447）      PDF（pc） （967KB）（1577）       Knowledge map    Save 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 and performance test cases are provided. The application results show that HDOSE has good performance and extendibility, and can rapidly help to construct the computation and interaction intensive complex application systems. 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 （1455）   HTML （723）    PDF（pc） （2724KB）（1561）       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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Challenges and Reflection on Next-generation Large-scale Computer Wargame System Si Guangya, Wang Yanzheng Journal of System Simulation    2021, 33 (9): 2010-2016.   DOI: 10.16182/j.issn1004731x.joss.21-0729 Abstract （2409）      PDF（pc） （843KB）（1555）       Knowledge map    Save 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. 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 （2665）   HTML （199）    PDF（pc） （1776KB）（1433）       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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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 （2309）   HTML （1255）    PDF（pc） （4691KB）（1431）       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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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 （1569）   HTML （645）    PDF（pc） （3245KB）（1407）       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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Review on Key Technologies of Industrial Control System Security Simulation Wang Bailing, Liu Hongri, Zhang Yaofang, Lü Sicai, Wang Zibo, Wang Qimeng Journal of System Simulation    2021, 33 (6): 1466-1488.   DOI: 10.16182/j.issn1004731x.joss.20-0875 Abstract （1005）      PDF（pc） （1600KB）（1395）       Knowledge map    Save In order to cope with the increasingly serious industrial internet security problems, simulation is viewed as a critical backboned technology for drilling of network attack and defense, tracking back and analyzing of security incidents, as well as validating of pre-research technology. On the basis of summarizing the studies of three types of typical industrial control system security simulation platform, the key technologies used in industrial control cyber range and industrial control honeynets are highlighted. Technologies are summarized, such as the virtualization technology of industrial control network and industrial control components, the construction technology of industrial control target field dominated by flow simulation and behavior simulation, the trapping technology of industrial control honeynet under the interconnection of multiple honeypots, and the data acquisition and evaluation technology. The challenges and future trends in the field of security simulation of industrial control systems are presented. 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 （947）   HTML （522）    PDF（pc） （856KB）（1356）       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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Design and Engine Implementation of Submarine Combat System Simulation Based on LVC Wu Jinping, Lu Minghua, Xue Changyou Journal of System Simulation    2021, 33 (7): 1647-1653.   DOI: 10.16182/j.issn1004731x.joss.20-0231 Abstract （999）      PDF（pc） （349KB）（1273）       Knowledge map    Save Submarine combat system simulation is one of the key and most important content in submarine combat simulation. On the basis of LVC simulation technology, practicing simulation-as-a-service idea, the LVC integration simulation method of submarine combat system is proposed and the LVC integration simulation environment is constructed. The composition and relationship of LVC simulation system are researched. The compositional structure of LVC simulation engine was designed. Based on the component design and development specifications in Java/EJB technological infrastructure, in use of software component technology, the simulation engine components are designed and implemented. The LVC integration simulation of submarine combat system integrates the advantage of three simulation styles, achieves the plug-and-play simulation environment and the better efficiency-cost ratio resource allocation. The application range of submarine combat system simulation is obviously expanded. Reference | Related Articles | Metrics

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Fault Tolerant Control and Simulation of Quadrotor Based on Adaptive Observer Zhao Jing, Wang Peng, Ding Xiaoqian, Jiang Guoping, Xu Fengyu, Sun Yanfei Journal of System Simulation    2022, 34 (1): 1-10.   DOI: 10.16182/j.issn1004731x.joss.20-0634 Abstract （703）      PDF（pc） （2629KB）（1242）       Knowledge map    Save Focusing on the actuator fault of quadrotor, an integral backstepping sliding mode combined with adaptive observer is proposed to ensure the safety and reliability of the quadrotor. A dynamic model of the quadrotor with actuator fault are established. An adaptive observer is proposed to observe the state and estimate the actual value of the fault. The attitude fault tolerant controller and position controllers are designed by the method of integral backstepping combined with the sliding mode control to complete the trajectory tracking of attitude and position. The simulation results show that the control strategy can quickly and accurately track the desired signals during actuator fault. Reference | Related Articles | Metrics

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Review of System of Systems Combat Effectiveness Evaluation and Optimization Methods Ziwei Zhang, Qisheng Guo, Zhiming Dong, Ang Gao, Yifei Wang Journal of System Simulation    2022, 34 (2): 303-313.   DOI: 10.16182/j.issn1004731x.joss.21-0225 Abstract （1300）   HTML （51）    PDF（pc） （506KB）（1224）       Knowledge map    Save The characteristics of system-of-systems combat effectiveness evaluation and optimization are analyzed. In light of the "holism", this paper proposes an idea of dividing system of systems combat effectiveness evaluation and optimization into three stages of comprehensive evaluation, analysis, and optimization. As for the practical problems that need to be solved in the three stages, typical methods suitable for each stage are summarized.The advantages and disadvantages of different methods are then compared. In view of the practical difficulties in implementing system of systems combat effectiveness evaluation and optimization guided by the "holism", this paper puts forward the next research directions from the perspectives of the design of a comprehensive application framework, the construction of an evaluation index system, and the innovation in the experimental deduction mode to provide support for the effective implementation of system of systems combat effectiveness evaluation and optimization methods. Table and Figures | Reference | Related Articles | Metrics

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Research on the Overall Design and Key Technology of “Human in the Loop” Synthetic Training Simulation Dong Zhiming, Zhu Guangchao, Xu Xiangzhong, Tan Yaxin, Fan Rui Journal of System Simulation    2021, 33 (6): 1248-1257.   DOI: 10.16182/j.issn1004731x.joss.21-0392 Abstract （871）      PDF（pc） （5872KB）（1221）       Knowledge map    Save Aiming at the difficulties of "human-in-the-loop" synthetic training simulation such as large scale, many entities, decentralized deployment and many heterogeneous systems. After study the construction of US Army synthetic training environment, a sustainable evolution cloud service architecture of distributed synthetic training simulation based on TISA middleware is designed, and a composable multi-level synthetic training simulation application model is put forward. It solves the technical problems of distributed training simulation, which are real-time interconnection and interoperability, consistency of battlefield environment, model composition and reuse, simulation as a service, etc. It provides technical supports for large-scale "human-in-the-loop" tactical confrontation exercises and research exercises, which helps to improve combat effectiveness. 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 （1936）   HTML （661）    PDF（pc） （702KB）（1208）       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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Optimal Path Planning for Multi-stage Automatic Parking and Simulation Analysis Qiming Wang, Gaoqiang Zong, Jinming Xu Journal of System Simulation    2022, 34 (2): 385-395.   DOI: 10.16182/j.issn1004731x.joss.20-0715 Abstract （976）   HTML （56）    PDF（pc） （2196KB）（1197）       Knowledge map    Save To resolve the path planning for narrow parallel parking spaces and the discontinuous curvature of the parking trajectory, this paper proposes a method of optimal multi-stage parking path planning considering collision avoidance constraints. A trajectory equation for the center of the vehicle rear axle is derived for the case when the steering wheel speed is constant. A function of collision avoidance constraints is developed to ensure the safe parking of the vehicle. With the center of the rear axle of the parking path as the control point, the optimal path is solved according to parking indicators such as the minimum parking space and the smallest final parking attitude angle. Simulink/Carsim co-simulation is performed to build a model. The simulation results show that a parking path designed by this method can achieve fast and stable parking in narrow parallel parking spaces under the premise of meeting parking safety needs. 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 （803）   HTML （614）    PDF（pc） （4184KB）（1150）       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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Research on Description Specification of Extensible Simulation Scenario Xu Xiangzhong, Xiong Jun, Shen Fengwei Journal of System Simulation    2021, 33 (6): 1241-1247.   DOI: 10.16182/j.issn1004731x.joss.21-0389 Abstract （693）      PDF（pc） （433KB）（1097）       Knowledge map    Save Simulation scenario description specification is of great significance to speed the Simulation Scenario Data (SSD) preparation, to improve the quality and to promote the reuse of the SSD. An in-depth comparison between simulation scenario and military scenario is made. The composition and application process of military scenario based on the description specification are designed, above which, the design scheme of the description specification is discussed. The extensible military scenario description specification is proposed from the following two aspects, that is, the basic elements including time and coordinate system, and the data interchange format. Series of scenario instances are produced. Research results are helpful to enhance the consistency of initial boundary conditions for the interconnect of various simulation training centers and to promote the reuse of the SSD. 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 （1349）   HTML （576）    PDF（pc） （2491KB）（1080）       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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Study on Task Allocation of UAV Swarm Based on Cognitive Control Wei Ruixuan, Wu Zichen Journal of System Simulation    2021, 33 (7): 1574-1581.   DOI: 10.16182/j.issn1004731x.joss.20-0213 Abstract （592）      PDF（pc） （524KB）（1030）       Knowledge map    Save A centralized allocation method for Unmanned Aerial Vehicle (UAV) swarm real-time task allocation is proposed. Based on the real-time battlefield situation, this method relies on the coordination scheduling layer to make allocation decisions, generates the strike order according to the strike efficiency ratio, and makes rolling optimization for real-time battlefield situation, so that the allocation results can always maintain the balance between optimization and efficiency within the current cognitive range. Particle swarm optimization (PSO) is used to solve the task assignment problem. In particular, a 2-D particle 0-1 coding and correction method for nonstandard particles is designed. The simulation results show that the proposed PSO algorithm can converge quickly and the proposed method can effectively solve the task assignment problem with real-time requirements. 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 （1552）   HTML （769）    PDF（pc） （1466KB）（1006）       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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Study on the Scale Characteristics of Permeability of TPMS Porous Materials Tong Wu, Qinghui Wang, Zhijia Xu Journal of System Simulation    2022, 34 (5): 1015-1024.   DOI: 10.16182/j.issn1004731x.joss.20-0966 Abstract （1723）   HTML （102）    PDF（pc） （2138KB）（1004）       Knowledge map    Save Triply Periodic Minimal Surface (TPMS) has been widely used in the design of porous materials, however, there is insufficient research on the scale characteristics of permeability. Four commonly used TPMS units are chosen as the research object, based on the introduction of their mathematical models and porosity control methods, a numerical simulation model based on CFD (computational fluid dynamics) is established; TPMS units and cubic porous structures with different porosities are analyzed, the quantitative correlation between their scales and permeability is clarified, i.e., within the selected scale range, the permeability of various TPMS units and cubic porous structures is the quadratic function of scaled. For the design of the permeability of TPMS porous materials, the research results can provide simulation method to support the selection of TPMS unit type and size. 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 （1028）   HTML （852）    PDF（pc） （1675KB）（961）       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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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 （1560）   HTML （646）    PDF（pc） （1481KB）（953）       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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Survey of Evolutionary Behavior Tree Algorithm Yang Jie, Zhang Qi, Zeng Junjie, Yin Quanjun Journal of System Simulation    2021, 33 (10): 2315-2322.   DOI: 10.16182/j.issn1004731x.joss.21-FZ0753 Abstract （787）      PDF（pc） （328KB）（950）       Knowledge map    Save Evolutionary behavior tree method is an agent behavior modeling method which uses evolutionary algorithm to generate and optimize behavior tree model. Based on the background knowledge of behavior tree and evolutionary algorithm, three kinds of evolutionary behavior tree algorithms based on genetic programming, grammar evolution and hybrid algorithm as well as corresponding improved algorithms are described, and the advantages and disadvantages of different algorithms are analyzed and compared. The specific applications of evolutionary behavior tree in combat simulation, game artificial intelligence, robotics and other fields are summarized. The future development trends of evolutionary behavior tree are proposed and discussed from the perspectives of search ability, generalization ability, behavior tree optimization and multi-agent application. Reference | Related Articles | Metrics

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Modeling & Simulation based System of Systems Engineering Lin Zhang, Kunyu Wang, Yuanjun Laili, Lei Ren Journal of System Simulation    2022, 34 (2): 179-190.   DOI: 10.16182/j.issn1004731x.joss.21-0579 Abstract （1189）   HTML （5832）    PDF（pc） （2008KB）（946）       Knowledge map    Save Through the typical cases in the field of military, society, manufacturing etc., this paper introduces the concept and features of complex engineering system of systems as well as the significance of modeling and simulation for the study of complex engineering system of systems. Taking complex product manufacturing as an example, the evolution process from systems engineering to model-based systems engineering (MBSE) and then to modeling and simulation-based system of systems engineering is analyzed. The characteristics and challenges of modeling and simulation of complex engineering system of systems is discussed. Some research topics in filed of MSBS2E is introduced, which includes model theory and methods, computing methods and platforms and uncertainty problems. Table and Figures | Reference | Related Articles | Metrics

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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 （1132）   HTML （74）    PDF（pc） （4154KB）（918）       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