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检索条件："刊名=Complex System Modeling and Simulation "
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Research on Digital Twin System Platform Framework and Key Technologies of Unmanned Ground Equipment
《Complex System Modeling and Simulation》2024年第2期109-123,共15页Kunyu Wang Lin Zhang Cheng Xu Han Lu Zhen Chen Hongbo Cheng Rui Guo 
As an emerging technology,digital twin is expected to bring novel application modes to the whole life cycle process of unmanned ground equipment,including research and development,design,control optimization,operation...
关键词：unmanned ground equipment digital twin native cloud platform Modeling and Simulation(M&S) artificial intelligence 
Modeling and Analysis of Risk Propagation and Loss Causing Capacity for Key Nodes in Cyber-Physical Coupled Power Network
《Complex System Modeling and Simulation》2024年第2期124-136,共13页Dongqi Liu Qiong Zhang Haolan Liang Tao Zhan Rui Wang 
This work was jointly supported by the National Natural Science Foundation of China(No.52177068);Hunan Provincial Natural Science Foundation of China(No.2023J30028);Graduate Research Innovation Project of Changsha University of Science and Technology(No.CXCLY2022076).
The modern power system has evolved into a cyber-physical system with deep coupling of physical and information domains,which brings new security risks.Aiming at the problem that the“information-physical”cross-domai...
关键词：cyber-physical system risk propagation complex network loss causative factor 
A Penalty Groups-Assisted Iterated Greedy Integrating Idle Time Insertion:Solving the Hybrid Flow Shop Group Scheduling with Delivery Time Windows
《Complex System Modeling and Simulation》2024年第2期137-165,共29页Qianhui Ji Yuyan Han Yuting Wang Biao Zhang Kaizhou Gao 
This work was supported by the Natural Science Foundation of Shandong province(No.ZR2023MF022);National Natural Science Foundation of China(Nos.61973203,61803192,62106073,and 61966012);Guangyue Young Scholar Innovation Team of Liaocheng University(No.LCUGYTD2022-03).
The hybrid flow shop group scheduling problem(HFGSP)with the delivery time windows has been widely studied owing to its better flexibility and suitability for the current just-in-time production mode.However,there are...
关键词：hybrid flow shop group scheduling iterated greedy algorithm delivery time windows sequence-dependent setup time 
Hierarchical Disturbance Propagation Mechanism and Improved Contract Net Protocol for Satellite TT&C Resource Dynamic Scheduling
《Complex System Modeling and Simulation》2024年第2期166-183,共18页Zhiqing Xiang Yi Gu Xinwei Wang Guohua Wu 
This work was supported in part by the National Natural Science Foundation of China(No.62373380).
The practical engineering of satellite tracking telemetry and command(TT&C)is often disturbed by unpredictable external factors,including the temporary rise in a significant quantity of satellite TT&C tasks,temporary ...
关键词：satellite tracking telemetry and command(TT&C) dynamic resource scheduling bottom-up mechanism heuristic strategy contract net protocol algorithm 
A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity被引量：1
《Complex System Modeling and Simulation》2024年第2期184-209,共26页Fuquan Wang Yaping Fu Kaizhou Gao Yaoxin Wu Song Gao 
This work was in part supported by the Science and Technology Development Fund(FDCT),Macao SAR,(No.0019/2021/A);Shandong Province Outstanding Youth Innovation Team Project of Colleges and Universities(No.2020RWG011),National Natural Science Foundation of China(Nos.62173356 and 61703320);Natural Science Foundation of Shandong Province(No.ZR202111110025);Guangdong Basic and Applied Basic Research Foundation(No.2023A1515011531);Zhuhai Industry-University-Research Project with Hongkong and Macao(No.ZH22017002210014PWC).
Remanufacturing is regarded as a sustainable manufacturing paradigm of energy conservation and environment protection.To improve the efficiency of the remanufacturing process,this work investigates an integrated sched...
关键词：remanufacturing scheduling DISASSEMBLY REPROCESSING META-HEURISTIC Q-LEARNING 
Distributed Model Predictive Contouring Control for Real-Time Multi-Robot Motion Planning被引量：3
《Complex System Modeling and Simulation》2022年第4期273-287,共15页Jianbin Xin Yaoguang Qu Fangfang Zhang Rudy Negenborn 
the National Natural Science Foundation of China(Nos.62173311,61703372,and 61603345);the College Youth Backbone Teacher Project of Henan Province(No.2021GGJS001);Henan Scientific and Technological Research Project(Nos.222102220123 and 212102310050);the Training Project of Zhengzhou University(No.JC21640030);the China Postdoctoral Science Foundation(No.2020M682346).
Existing motion planning algorithms for multi-robot systems must be improved to address poor coordination and increase low real-time performance.This paper proposes a new distributed real-time motion planning method f...
关键词：multi-robot system path planning model predictive contouring control distributed optimization 
Dual-Stage Hybrid Learning Particle Swarm Optimization Algorithm for Global Optimization Problems被引量：3
《Complex System Modeling and Simulation》2022年第4期288-306,共19页Wei Li Yangtao Chen Qian Cai Cancan Wang Ying Huang Soroosh Mahmoodi 
the National Natural Science Foundation of China(Nos.62066019 and 61903089);the Natural Science Foundation of Jiangxi Province(Nos.20202BABL202020 and 20202BAB202014);the Graduate Innovation Foundation of Jiangxi University of Science and Technology(Nos.XY2021-S092 and YC2022-S641).
Particle swarm optimization(PSO)is a type of swarm intelligence algorithm that is frequently used to resolve specific global optimization problems due to its rapid convergence and ease of operation.However,PSO still h...
关键词：particle swarm optimization Manhattan distance example learning gaussian mutation dual-stage global optimization problem 
Brain-Controlled Multi-Robot at Servo-Control Level Based on Nonlinear Model Predictive Control被引量：1
《Complex System Modeling and Simulation》2022年第4期307-321,共15页Zhenge Yang Luzheng Bi Weiming Chi Haonan Shi Cuntai Guan 
the National Natural Science Foundation of China(No.51975052).
Using a brain-computer interface(BCI)rather than limbs to control multiple robots(i.e.,brain-controlled multi-robots)can better assist people with disabilities in daily life than a brain-controlled single robot.For ex...
关键词：brain-computer interface human-machine collaboration model predictive control multi-robot system 
Multi-UAV Cooperative Trajectory Planning Based on Many-Objective Evolutionary Algorithm被引量：6
《Complex System Modeling and Simulation》2022年第2期130-141,共12页Hui Bai Tian Fan Yuan Niu Zhihua Cui 
This work was supported by the National Natural Science Foundation of China(No.61806138);the Key R&D Program of Shanxi Province(International Cooperation)(No.201903D421048);the Science and Technology Development Foundation of the Central Guiding Local(No.YDZJSX2021A038);the Postgraduate Innovation Project of Shanxi Province(No.2021Y696).
The trajectory planning of multiple unmanned aerial vehicles(UAVs)is the core of efficient UAV mission execution.Existing studies have mainly transformed this problem into a single-objective optimization problem using...
关键词：multiple unmanned aerial vehicles(multi-UAV) coordinated trajectory planning NSGA-III many-objective optimization 
A Region Enhanced Discrete Multi-Objective Fireworks Algorithm for Low-Carbon Vehicle Routing Problem被引量：1
《Complex System Modeling and Simulation》2022年第2期142-155,共14页Xiaoning Shen Jiaqi Lu Xuan You Liyan Song Zhongpei Ge 
This work was supported by the Guangdong Provincial Key Laboratory(No.2020B121201001);the National Natural Science Foundation of China(NSFC)(Nos.61502239 and 62002148);Natural Science Foundation of Jiangsu Province of China(No.BK20150924);the Program for Guangdong Introducing Innovative and Enterpreneurial Teams(No.2017ZT07X386);Shenzhen Science and Technology Program(No.KQTD2016112514355531);Research Institute of Trustworthy Autonomous Systems(RITAS).
A constrained multi-objective optimization model for the low-carbon vehicle routing problem(VRP)is established.A carbon emission measurement method considering various practical factors is introduced.It minimizes both...
关键词：vehicle routing problem carbon emission multi-objective optimization fireworks algorithm region enhanced 
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