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Artificial Intelligence and Robotics

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Multi-Agent Based Modelling And Simulation For Understanding Tempo-Spatial Patterns Of Surgery Wait Times, Tao Li, Luo Liang, Zili Zhang, Lai Hong, Fuyuan Xiao Jun 2020

Multi-Agent Based Modelling And Simulation For Understanding Tempo-Spatial Patterns Of Surgery Wait Times, Tao Li, Luo Liang, Zili Zhang, Lai Hong, Fuyuan Xiao

Journal of System Simulation

Abstract: In order to characterize the self-organized tempo-spatial patterns of wait times in a healthcare service system, a multi-agent cardiac surgery service model (MA-CSS model) was proposed based on the multi-agent modeling within the context of cardiac surgery services. This model pays a special attention to how patients' and hospitals' behaviors and interactions affect the dynamics and relevant patterns of wait times with respect to some key factors, such as geographic accessibility to services, hospital resourcefulness, and wait times. By experimenting with the MA-CSS model, it was observed that certain regularities in wait times emerged from the simulation, which were …

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Application Of Chirp Signal In Underwater Acoustic Supervision System For Illegal Throwing Sand Behavior Detection, Zhangting Zhong, Yuan Fei, Jiale Wang, En Cheng Jun 2020

Application Of Chirp Signal In Underwater Acoustic Supervision System For Illegal Throwing Sand Behavior Detection, Zhangting Zhong, Yuan Fei, Jiale Wang, En Cheng

Journal of System Simulation

Abstract: To find an efficient and convenient method to determine whether a dredging is illegal is a very meaningful research content. A method of detection of throwing sand behavior based on Chirp signal was studied and three implementation schemes (subsection FFT fast correlation), FRFT and DeChirp were designed. The feasibility of the three schemes was verified by Wu Yuan Bay experiment and the simulation results. Anti-multipath and anti-noise performance of FRFT transform is the best. The performance of dechirp is the worst. Through the analysis, it comes out the conclusion: when the multipath effect is serious, FRFT algorithm …

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Improved Svdd For Speech Recognition And Simulation, Hao Rui, Xiaofeng Liu, Yanbo Niu, Xiu Lei Jun 2020

Improved Svdd For Speech Recognition And Simulation, Hao Rui, Xiaofeng Liu, Yanbo Niu, Xiu Lei

Journal of System Simulation

Abstract: Support vector data description (SVDD) defines multi-class data by their respective hyper-spheres. The computational complexity of the quadratic programming problem is reduced significantly and it is easier to solve multi-class classification problems. Thus, SVDD has attracted more and more attention in the field of speech recognition research. For the problems of the feature vectors of speech samples overlapping and updating, the conventional SVDD for multi-class classification was improved. On the one hand, the spatial position of the samples was fully used to construct the decision function in overlapping domain of hyper-spheres; On the other hand, based on class incremental …

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Hierarchical Agglomerative Community Detection Algorithm Based On Similarity Modularity, Wenwei Zhan, Jingke Xi, Zhixiao Wang Jun 2020

Hierarchical Agglomerative Community Detection Algorithm Based On Similarity Modularity, Wenwei Zhan, Jingke Xi, Zhixiao Wang

Journal of System Simulation

Abstract: Fast Unfolding is a hierarchical community detection algorithm based on modularity. It runs very fast, but the accuracy needs to be improved. Because the algorithm adopts traditional modularity to merger communities, it only considers node link information and ignores the neighbor nodes. Therefore, two nodes that have common neighbors and weak link information may not be merged, thus affecting the accuracy. In view of the shortcomings, a hierarchical agglomerative community detection algorithm based on similarity modularity was proposed through introducing optimized similarity to improve the modularity. It adopts NMI as the accuracy measurement. Experiments on the real network …

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Simulation Research On The Multipath Effect Of Bds Geo/Igso Satellite Navigation Signals, Yachuan Bao, Baoguo Yu, Mingfeng Qin, Luo Yi Jun 2020

Simulation Research On The Multipath Effect Of Bds Geo/Igso Satellite Navigation Signals, Yachuan Bao, Baoguo Yu, Mingfeng Qin, Luo Yi

Journal of System Simulation

Abstract: Pseudo range measure error oscillation phenomenon was discovered in BDS GEO/IGSO satellites monitoring. Research on the phenomenon was made with multipath signal generation and multipath effect theory. The dynamic multipath effect of satellites including GEO, IGSO and MEO were simulated based on the construction of dynamic model of satellites and multipath mirror reflection model. Theory analysis and simulation were made on the pseudo range and carrier phase measure error caused by different dynamic multipath effect. The simulation result is similar with the measure result of practical observation, which gives a new reference for the final revelation of the reason …

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Telemetry Parameters Simulation Of Spacecraft Based On Computation Tree, Ti Zhou, Miao Yi Jun 2020

Telemetry Parameters Simulation Of Spacecraft Based On Computation Tree, Ti Zhou, Miao Yi

Journal of System Simulation

Abstract: Simulation system of spacecrafts' Telemetry and Command (TT&C) needs to simulate lots of telemetry parameters in every missions, whose computing algorithms are different. In the past applications, these algorithms are fixed as codes in software programs, so it is very difficult to improve the maintainability and reuse of the simulation system. By studying the computing methods of telemetry parameters described in configuration files, a design scheme was given in which the algorithms of parameters were flexibly configured, and the principle of methods were described specially in computing parameters, software models, data structure and algorithms. In this framework, the algorithms …

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Efficient Resource Search Mechanism In Selfish Mobile Peer-To-Peer Network, Liu Hao, Xuelong Zhang Jun 2020

Efficient Resource Search Mechanism In Selfish Mobile Peer-To-Peer Network, Liu Hao, Xuelong Zhang

Journal of System Simulation

Abstract: Because of the influence of node's own state and other factors, the node in mobile P2P network often shows the selfishness and resource preference, which greatly affects the resource search efficiency of the network system. Aiming at this problem, a novel resource search mechanism was proposed based cooperation degree of nodes in selfish mobile Peer-to-Peer network. In the search mechanism, through the comprehensive evaluation of the node's information forwarding rate, the overall similarity and the core degree, the node with the highest degree of cooperation was selected as the relay node for information forwarding. At the same time, through …

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Lidar-Based Relative Position And Attitude Filtering For Unknown Targets, Song Liang, Li Zhi, Xingrui Ma Jun 2020

Lidar-Based Relative Position And Attitude Filtering For Unknown Targets, Song Liang, Li Zhi, Xingrui Ma

Journal of System Simulation

Abstract: A LIDAR-Based Extended Kalman Filter (EKF) for relative position and attitude estimation of unknowns target was proposed. The relative position and attitude between the target and a servicing spacecraft was solved by the Iterative Closet Point (ICP) using LIDAR point cloud data, which served as the EKF's measurement input. The system states of EKF include the relative attitude, angular velocity, inertia ratios, relative position, relative velocity, and the position/attitude of target measurement reference frame with respect to target principle frame. The proposed filter estimated the relative position and attitude as well as the unknown parameters of the target. …

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Coverage Path Planning Algorithm Based On Centroidal Power Diagram, Liping Zheng, Yajun Cheng, Lu Chang, Ting Liao Jun 2020

Coverage Path Planning Algorithm Based On Centroidal Power Diagram, Liping Zheng, Yajun Cheng, Lu Chang, Ting Liao

Journal of System Simulation

Abstract: Coverage path-planning algorithm is widely used in mobile sensor networks, multi-robot system, and other fields. The coverage path planning algorithm based on CCCPD(Centroidal Capacity Constrained Power Diagram) was studied. The classical Lloyd based generating method for Centroidal Power Diagram was extended to PD-Lloyd algorithm, which could be used for path-planning. Two optimizing strategies were proposed to enhance the credibility of the PD-Lloyd algorithm by considering the physical moving characteristics of individuals in the real scene. Experiments prove that the proposed algorithm has advantages of well stability and inherent collision-free characteristic, and can generate more optimal motion path.

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Real-Time Scheduling Algorithm Of Dynamic With Fault-Tolerant In Heterogeneous Distributed Systems, Chongjie Dong, Yuqiang Chen Jun 2020

Real-Time Scheduling Algorithm Of Dynamic With Fault-Tolerant In Heterogeneous Distributed Systems, Chongjie Dong, Yuqiang Chen

Journal of System Simulation

Abstract: The traditional heterogeneous distributed real-time scheduling algorithm didn't give consideration to the dynamic behavior of tasks. An aperiodic non-preemptible and heterogeneous distributed dynamic fault-tolerant model and presenting two fault-tolerant scheduling algorithms was proposed based on this model: DRFSA algorithm and DSFSA algorithm. DRFSA(Dynamic and Reliability-driven of hybrid with Fault-tolerant Scheduling Algorithm)algorithm is to improve the system reliability as the scheduling objective through the reasonable scheduling. DSFSA (Dynamic and Schedulability-driven of hybrid with Fault-tolerant Scheduling Algorithm) algorithm is to improve schedulability as the scheduling objective and tries to enhance the schedulability through less task execution time. Both algorithms can dispatch …

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Novel Method On Features Tracking For Multi-Image Matching, Kaikai Jia, Zhenjie Zhang, Xiangyang Hao Jun 2020

Novel Method On Features Tracking For Multi-Image Matching, Kaikai Jia, Zhenjie Zhang, Xiangyang Hao

Journal of System Simulation

Abstract: Considering the slow motion between adjacent frames in image sequence, optical flow can be applied on image matching. A novel method for multi-image matching based on features tracking was proposed. The algorithm tracked features between adjacent frames, combining with matching strategy and FB Error, to achieve fast and accurate matching. Multi-image matching was finished by tracking features between image sequence. The experimental results show that the novel algorithm improves the efficiency and ensure the accuracy.

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Combination Model Of Network Security Situation Prediction Based On Cooperative Games, Ke Gang Jun 2020

Combination Model Of Network Security Situation Prediction Based On Cooperative Games, Ke Gang

Journal of System Simulation

Abstract: Influenced by a variety of complicated factors, the network security situation has many characteristics, such as highly nonlinear, time-varying, and mutant. It is difficult to predict accurately with a single prediction method. In response to this shortage, a new combined prediction model for network security situation was proposed based on cooperation policy theory. The network security situation was predicted respectively by using the Elman neural network model, GM(1,1)model, support vector machine (SVM) mode. The Shapley value method of cooperative games was applied to determine the weight of each single prediction model, and the prediction results were weighted calculated to …

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Modeling Method Of Communication Networks Background Traffic For Counter-Command Simulation Training, Yunjun Lu, Fuli Cai, Zhou Ming Jun 2020

Modeling Method Of Communication Networks Background Traffic For Counter-Command Simulation Training, Yunjun Lu, Fuli Cai, Zhou Ming

Journal of System Simulation

Abstract: For the actual need of the communication networks modeling in combat command simulation, a modeling method of background traffic was proposed which was oriented towards counter-command simulation training under the guidance of basic idea of index modeling. The background traffic model was designed and the simulation verification was carried on. The results indicate that such method is able to generate background traffic rapidly and efficiently, meeting the requirement of simulation training.

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Research Of Partial Synchronization-Based Movement Modeling, Yang Mei, Xu Xiao, Peng Yong, Rusheng Ju, Kedi Huang, Jiao Peng Jun 2020

Research Of Partial Synchronization-Based Movement Modeling, Yang Mei, Xu Xiao, Peng Yong, Rusheng Ju, Kedi Huang, Jiao Peng

Journal of System Simulation

Abstract: An effective method of partial synchronization-based movement modeling was proposed according to the characteristics of running fast and aggregated modeling. A mediate-based ABS M&S framework was analyzed to provide movement mediator for movement modeling. The situations of simple movement and movement with sense interactions were investigated on the basis of movement directive and typical sensor models, and the movement models were built, and the updates and synchronizations of positions were analyzed. The research shows that, the partial synchronization-based movement modeling in high level military analytic simulation can be effectively built to reduce redundant updates and computations of movement.

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Research On Modeling Of Cyberspace Operation Based On Ebni Model Frame, Zhang Yang, Guangya Si, Yanzheng Wang Jun 2020

Research On Modeling Of Cyberspace Operation Based On Ebni Model Frame, Zhang Yang, Guangya Si, Yanzheng Wang

Journal of System Simulation

Abstract: The research about model framework of Cyberspace War was studied. On the base of EBNI, the model of Cyberspace Operation which faced to joint operation was researched, and then the direction idea of the entity model, the operation model and effect model were given. The “three-layer-viewer” of the entity in Cyberspace War based on capacity index was established, and the troop arranging model and equipment action model in Cyberspace War was researched. The effect model based on “mechanism+visualization” was set up.

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Low-Thrust Trajectory In Interplanetary Flight Solved By Pseudospectral Method, Ruiye Jiang, Chao Tao, Songyan Wang, Yang Ming Jun 2020

Low-Thrust Trajectory In Interplanetary Flight Solved By Pseudospectral Method, Ruiye Jiang, Chao Tao, Songyan Wang, Yang Ming

Journal of System Simulation

Abstract: The local low-thrust trajectory optimization problem in interplanetary flight was obtained with pseudo spectral method. The dynamic equations of the low-thrust orbit and the design ideas of the indirect method to solve the low-thrust trajectory were introduced. How to use the pseudospectral method to solve the trajectory optimization problem was given. The GPOPS solver (General Pseudospectral Optimal Control Software) was used to design the optimal low-thrust orbit, and the performance indexes of designing the low-thrust orbit are chosen as time-optimal, fuel-optimal and energy-optimal condition. The GPOPS solver was used to obtain the initial values of the costate variables which …

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System-Of-Systems Combat Ooda Loop Robustness Modeling And Experiment, Mingzhi Zhang, Ma Li Jun 2020

System-Of-Systems Combat Ooda Loop Robustness Modeling And Experiment, Mingzhi Zhang, Ma Li

Journal of System Simulation

Abstract: It is a difficult issue to design metrics of measure of the OSOS capabilities, which are emergent properties of OSOS. The concept of the OODA loop robustness was proposed and it was closely related to the overall capabilities of OSOS. A new method to measure the OODA loop robustness was discussed. The OSOS combat network mode was established l. Based on the weighted network, the Perron-Frobenius Eigenvalue (PFE) of the adjacency matrix of the network was used to measure the OODA loop robustness. Simulations show that there is a strong correlation between the PFE and the metric …

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Modeling And Simulation Of Merging Behavior At Urban Expressway On-Ramp, Zuo Kang, Qiyuan Liu, Sun Jian Jun 2020

Modeling And Simulation Of Merging Behavior At Urban Expressway On-Ramp, Zuo Kang, Qiyuan Liu, Sun Jian

Journal of System Simulation

Abstract: In order to analyze the causation and evolution process of early on-set breakdown at bottlenecks deeply, the lane changing motivation model was established based on the whole vehicles' trajectory data at Hongxu Road on-ramp bottleneck in Shanghai China. The results show that prediction accuracy of the lane change motivation model is more than 73%. On this basis, the on-ramp microscopic traffic flow simulation proto type system ORBSIM was established with calibrated critical gap and IDM model in the C++ platform. The simulation results show that the ORBSIM can recur traffic flow characteristics and early on-set breakdown phenomenon. For further …

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Simulation Analysis Of Combustion Optimization Scheme For Ultra Supercritical Wall Arrangement Tangential Circle Boiler, Yingbao Li, Dongfeng Wang Jun 2020

Simulation Analysis Of Combustion Optimization Scheme For Ultra Supercritical Wall Arrangement Tangential Circle Boiler, Yingbao Li, Dongfeng Wang

Journal of System Simulation

Abstract: To research the combustion optimization scheme of air distribution type selection and low nitrogen oxides (NOx) emission in a 600MW supercritical wall arrangement tangential circle boiler, a modeling and simulating method which applied computational fluid dynamics (CFD) was proposed, the 3D grid model of the boiler is drawn by CAD software, the turbulence model, the radiation model and the inlet boundary condition of the boiler were determined, the boiler combustion simulation experiment was completed. The simulation results show that compared the change of velocity field, temperature field and NOx generation in the furnace under four type air distribution conditions …

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Work Mode Identification Of Phased Array Radar With Denoising Auto-Encoder, Haodong Liu, Weidong Jin, Chunli Chen, Cai Jian Jun 2020

Work Mode Identification Of Phased Array Radar With Denoising Auto-Encoder, Haodong Liu, Weidong Jin, Chunli Chen, Cai Jian

Journal of System Simulation

Abstract: A new method to recognize phased array radar in different work modes was proposed based on multi-level modeling combined with Marginalized Stacked Denoising Auto-encoder. In order to analyze the change law of pulses intercepted by surveillance radar, multi-level modeling was proposed to model the pulses at pulse level, pulse group level and work mode level. Marginalized stacked denoising auto-encoder was trained to extract amplitude characteristics at the work mode level. SVM (Support Vector Machine) was added to the top of deep network to realize work mode identification of phased array radar. Qualitative experiments show that the new method is …

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Action Recognition By Improved Dense Trajectories, Peizhen Xu, Zhibin Yu, Weidong Jin, Haiying Jiang Jun 2020

Action Recognition By Improved Dense Trajectories, Peizhen Xu, Zhibin Yu, Weidong Jin, Haiying Jiang

Journal of System Simulation

Abstract: In recent years, with strong robustness to fast irregular motion, the method of human motion representation based on dense trajectories has been used more and more in the field of behavior recognition. However, the relative motion of the background caused by the motion of the camera has a great influence on the extraction of the trajectories. In order to estimate the camera motion, the speed up robust feature (SURF) descriptor was used to match the feature points of each frame. Since the human motion and the camera motion were not same, human detection was added to remove inconsistent matches. …

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Research Of State Vector In Short-Term Passengers Flow Forecasting Based On Nonparametric Regression, Guo Han, Pengpeng Jiao Jun 2020

Research Of State Vector In Short-Term Passengers Flow Forecasting Based On Nonparametric Regression, Guo Han, Pengpeng Jiao

Journal of System Simulation

Abstract: KNNR (K Nearest Neighbor Based Nonparametric Regression) Method was used for short-term traffic forecast and the choice of state vector was studied. The result shows that taking the data of some historical periods as the state vector has a good prediction. Although the correlation of the historical passenger flow between different Rail transit sites is significant, it neglects the fact that the passengers enter each station is independent. So taking the historical passenger flow of adjacent sites as the state vector is not appropriate.

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Research On Dynamic Flexible Job Shop Scheduling Problem For Energy Consumption, Chen Chao, Wang Yan, Dahu Yan, Zhicheng Ji Jun 2020

Research On Dynamic Flexible Job Shop Scheduling Problem For Energy Consumption, Chen Chao, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: In order to solve the problem of uneven load and energy consumption under disturbance, a flexible job shop scheduling model with average flow time and energy consumption was constructed. Aiming at the above model, a genetic and simulated annealing algorithm (GASA) was designed, which is based on the genetic algorithm and the simulated annealing algorithm. A new group of individuals were generated by genetic algorithm. And then the individual simulated the annealing process, in order to avoid falling into the local optimal. Aiming at the dynamic flexible job shop scheduling problem, the rolling window technique and GASA algorithm were …

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Fault Diagnosis Method Of Rolling Bearing Based On Wkelm Optimized By Whale Optimization Algorithm, Jiya Xu, Wang Yan, Zhicheng Ji Jun 2020

Fault Diagnosis Method Of Rolling Bearing Based On Wkelm Optimized By Whale Optimization Algorithm, Jiya Xu, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: In order to recognize rolling bearing's fault types accurately according to the optimal characteristics of fault vibration signal of rolling bearing, a rolling bearing fault diagnosis method was proposed based on orthogonal matching pursuit algorithm and the optimized wavelet kernel extreme learning machine method. The OMP algorithm was used to de-noising the vibration signal of the bearing. The wavelet packet decomposition of the signal after de-noising was used to obtain the frequency band energy, and the fault characteristics were extracted. By using an improved whale optimization algorithm based on von-neumann, the penalty factor and kernel parameter of wavelet kernel …

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Study On Motion Cueing Algorithm Of High-Fidelity Based On Fuzzy Logic, Wang Hui, Daoyang Zhu, Ping Fan Jun 2020

Study On Motion Cueing Algorithm Of High-Fidelity Based On Fuzzy Logic, Wang Hui, Daoyang Zhu, Ping Fan

Journal of System Simulation

Abstract: Because classical washout algorithm exists false cues and phase retardation, these problems cause the lack of motion proprioceptive fidelity in flight simulators. By combining human vestibular perception system and the theory of fuzzy logic control to regulate the feedback of its sensory error, the translational acceleration channel, the Tilt coordination channel and the angular velocity channel of classical wash out algorithm were compensated, respectively. Simulation and modeling was carried out by fuzzy logic washout algorithm, and simulation verification was conducted on a set of flight data within fuzzy logic washout algorithm. The simulation results show that the theory of …

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Topology Control Algorithm Based On Link Available Time For Cognitive Radio Network, Huaide Yang Jun 2020

Topology Control Algorithm Based On Link Available Time For Cognitive Radio Network, Huaide Yang

Journal of System Simulation

Abstract: The topology changes frequently in cognitive wireless network as nodes' mobility, the main user interference, residual energy of nodes which cause link unavailable. A new topology control algorithm based on predict of link available time was proposed to resolve the problem. The algorithm forecasted link available time using probabilistic principles, and built a stable topology with longest available time links. Simulation results show that the new algorithm can take advantage of links with low mobility nodes, less interference caused by the primary user, and large remaining energy, simplify the network topology, effectively reduce the cost of the link topology …

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Uav-Mimo Channel Characteristic Analysis Based On Gbsbcs Model, Xijun Gao, Zili Chen, Yongjiang Hu, Zidong Zhou Jun 2020

Uav-Mimo Channel Characteristic Analysis Based On Gbsbcs Model, Xijun Gao, Zili Chen, Yongjiang Hu, Zidong Zhou

Journal of System Simulation

Abstract: The simple form of UAV space-time-frequency channel correlation function was presented based on the three-dimensional geometrically based single bounce concentric elliptic ring scattering (GBSBCER) channel model of Multi-Input Multi-Output（MIMO）for Unmanned Aerial Vehicle (UAV). The analytic formula of UAV-MIMO normalized correlation matrix was deduced. The effect of antennas structures, flight distance and scatters distributing on the characteristic parameters such as the condition number of UAV-MIMO channel matrix and the channel capacity were analyzed by this formula. The simulation results show that, the performance of UAV-MIMO communication can be improved by reasonably arranging the antennas, adjusting the flight parameters, which …

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Filtering Based Maximum Likelihood Stochastic Gradient Prediction On Wind Power Curtailment, Ziyun Wang, Zhicheng Ji Jun 2020

Filtering Based Maximum Likelihood Stochastic Gradient Prediction On Wind Power Curtailment, Ziyun Wang, Zhicheng Ji

Journal of System Simulation

Abstract: The parameter estimation problem of Hammerstein finite impulse response models and its application on the wind curtailment prediction field were considered. By adopting the maximum likelihood principle, the maximum likelihood estimate was obtained by minimizing the likelihood function. To reduce the impact of the unknown noise term, the maximum likelihood idea and the filtering theory were combined by changing the coupled nonlinear model into a parameter-independent model and to derive a filtering based maximum likelihood stochastic gradient algorithm for the Hammerstein system modeling on wind power curtailment prediction. The given simulation validates that the proposed algorithm can identify the …

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Intelligent Acp Based Experimental Approach, Bin Chen, Xiaogang Qiu, Yiping Wang Jun 2020

Intelligent Acp Based Experimental Approach, Bin Chen, Xiaogang Qiu, Yiping Wang

Journal of System Simulation

Abstract: As an approach to solve the problems in complex system research, ACP (Artificial Society, Computational Experiments, Parallel Execution) has played an important role in research fields such as public safety. With the development of information technologies such as big data, intelligent learning, game play theory, an intelligent ACP based experimental approach was proposed to solve the kernel problems in current complex system research. The possibility analysis of the approach in public safety, biological threats and joint combat experiments was illustrated. The applications including evacuation, network opinion and chemical industrial park security of the approach in safety science …

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Modeling And Simulation Of Superheated Steam Temperature Based On Multi-Objective Genetic Algorithm, Zhenlong Wu, Ting He, Lingmei Wang, Fengsheng Jia, Yunkai Yang, Haishu Wu, Donghai Li, Han Lei Jun 2020

Modeling And Simulation Of Superheated Steam Temperature Based On Multi-Objective Genetic Algorithm, Zhenlong Wu, Ting He, Lingmei Wang, Fengsheng Jia, Yunkai Yang, Haishu Wu, Donghai Li, Han Lei

Journal of System Simulation

Abstract: The high order inertial transfer functions were used to approximate the distribution parameter model. In order to compare the influence of the order of the leading region and the inertia object model on the accuracy and get the dynamic parameters, the multi-objective genetic algorithm was used to optimize the model parameters according to the actual operation data of the power plant. The higher the order, the Pareto front moves forward and recognizes the higher accuracy by the simulation when the orders are in a reasonable range. The reasonable superheated steam temperature system model was established considering the engineering …

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