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Systems Science Commons™

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2020

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Articles 1201 - 1230 of 1494

Full-Text Articles in Systems Science

Soc-Based Bi-Directional Active Equalization Control For Lithium-Ion Power Battery, Shaojian Song, Zhihao Wang, Xiaofeng Lin Jun 2020

Soc-Based Bi-Directional Active Equalization Control For Lithium-Ion Power Battery, Shaojian Song, Zhihao Wang, Xiaofeng Lin

Journal of System Simulation

Abstract: The inconsistency of cell in the electric vehicles' lithium-ion power battery pack leads to decrease the battery pack's capacity and lifetime, and even seriously affect the electric vehicles' performance. An active equalization system was designed based on the bi-directional Buck-Boost topology. A novel active equalization control strategy was proposed to balance the lithium-ion battery pack in the process of charging and static state, which extreme learning machine (ELM) was used to predict the state of charge(SOC), and SOC was employed as the main balance criterion. The simulation results show that the proposed bi-directional active equalization method can realize the …

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Simulation Analysis Of Beijing H1n1 Influenza Based On Spatial Clustering, Yitong Zhao, Mei Shan, Ma Liang, Zhang Wei Jun 2020

Simulation Analysis Of Beijing H1n1 Influenza Based On Spatial Clustering, Yitong Zhao, Mei Shan, Ma Liang, Zhang Wei

Journal of System Simulation

Abstract: Spatial cluster detection is widely used for disease surveillance, prevention and containment. In the early stages of illness, epidemics have similar symptoms to common diseases, making infectious disease data processing and analysis difficult. The Agent based modeling and simulation was used to generate H1N1 influenza data in Beijing. By designing a set of experiments, the epidemic monitoring results of two spatial clustering algorithms were analyzed. The results show that, using spatial clustering algorithms to analyze the simulation data of the epidemics can help to reveal the spread of the epidemic and play a positive role in the …

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Combinatorial Optimization Of 3d Visualization Simulation Based On Automatic-Correction, Yanyang Zeng, Qingqing Pei, Fengju Kang Jun 2020

Combinatorial Optimization Of 3d Visualization Simulation Based On Automatic-Correction, Yanyang Zeng, Qingqing Pei, Fengju Kang

Journal of System Simulation

Abstract: In order to enhance the visual simulation results, developers often need to combine and optimize the fine expression of the above entities, terrain and physical field by the individual experience under conditions of limited computer resources. The iterative process of debugging cycle is long, and it is difficult to solve the contradiction between good fidelity and real-time. So, cybernetics ideas, and proposes semi/fully automatic correction technology were introduced, which is composed of discrete multi-resolution representation of the three-dimensional model, assessment of visual effects and intelligent optimization, providing a decision support method for three-dimensional visual development. The method was applied …

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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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Research Of Modeling Of Spatial Information Support Sos Based On Complex Network Theory, Qingjun Zhang, Mingzhi Zhang, Qingjuan Zhang, Wu Xi Jun 2020

Research Of Modeling Of Spatial Information Support Sos Based On Complex Network Theory, Qingjun Zhang, Mingzhi Zhang, Qingjuan Zhang, Wu Xi

Journal of System Simulation

Abstract: Spatial information support system as the main body of space operations, in the future network of joint operations, plays a central role. Based on the characteristics of spatial information support system, a modeling method combining multi-agent, multi-resolution and complex network was proposed, and the spatial information support system model framework was constructed. Multi-agent model, multi - resolution model and complex network model were established, and the connectivity rate in the complex network model was simulated and analyzed, so as to lay the foundation for further research on the modeling of spatial information support system.

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Research On 3d Scene Modeling Based On Uav And Lidar, Zhang Hang, Bin Chen, Hanzhang Xue, Zhengqiu Zhu, Rongxiao Wang Jun 2020

Research On 3d Scene Modeling Based On Uav And Lidar, Zhang Hang, Bin Chen, Hanzhang Xue, Zhengqiu Zhu, Rongxiao Wang

Journal of System Simulation

Abstract: Simulation is a significant method of emergency management research which demands the digital data of real scenes. Hardware was integrated to design the air borne point cloud data acquisition platform by using UAV as carrier, picking up the laser radar, IMU, etc. Furthermore, the platform was used to collect point cloud data and SLAM algorithm was used to establish real-time point cloud map. Moreover, point cloud map was utilized to establish 3D model. The problem of real scene 3D model construction was solved, designing and realizing point cloud processing and 3D modeling software, and a lot …

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Indoor Positioning Algorithm For Rfid Based On Newton Interpolation And Support Vector Regression Optimized By Hybridizing Grey Wolf Optimization, Yangjie Xu, Wang Yan, Dahu Yan, Zhicheng Ji Jun 2020

Indoor Positioning Algorithm For Rfid Based On Newton Interpolation And Support Vector Regression Optimized By Hybridizing Grey Wolf Optimization, Yangjie Xu, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Since the traditional LANDMARC location algorithms have poor positioning accuracy and cost laborious efforts to decorate reference tags in the RFID positioning system, a novel positioning algorithm proposed is based on the Newton interpolation method and support vector regression optimized by hybridizing grey wolf optimization with differential evolution (HGWOSVR). By using the proposed algorithm, Gaussian filter was used to deal with the sampling data of the reference tags.Newton interpolation method was adopted to estimate the RSS value of other reference tags to expand database. The HGWOSVR algorithm was employed to build the nonlinear relationship between the RSS value of …

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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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Research On Real-Time Arterial Coordination Traffic Signal Control Model Based On Minimum Per Capita Delay, Li Yang, Pengpeng Jiao, Meiqi Liu Jun 2020

Research On Real-Time Arterial Coordination Traffic Signal Control Model Based On Minimum Per Capita Delay, Li Yang, Pengpeng Jiao, Meiqi Liu

Journal of System Simulation

Abstract: To improve overall efficiency for all travelers of artery system, a real-time arterial coordination traffic signal control model was proposed. The model not only satisfied minimum per capita delay for all travelers on motor vehicles, but also selected effective green time and phase difference as the optimized parameters. The model of vehicle head delay and team tail delay was established based on traffic wave theory. The vehicle delay model for bus and social vehicles was developed in light of different occupancy rates, besides, the per capita delay could be obtained by introducing it. The results show that the …

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Radar Emitter Signal Identification Based On Slide+Svm, Yingkun Huang, Weidong Jin Jun 2020

Radar Emitter Signal Identification Based On Slide+Svm, Yingkun Huang, Weidong Jin

Journal of System Simulation

Abstract: For the deficiency of traditional techniques of emitter signal feature extraction which heavily rely on experience, a model of radar emitting signal identification based on feature self-learning was proposed. This model consists of following 2 parts. Firstly, transform radar signal into frequency domain, then reduce signal dimension by using improved Piecewise Aggregate Approximation (PAA) method. Secondly, create the model of multi-layer Liner Denoiser (LIDE) to feature learning by using unsupervised training method. The validity of model was verified by simulating 5 different kinds of emitting signal with the outcome that excellent identification accuracy could be achieved at …

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Speech Endpoint Detection Method Based On Lms Noise Reduction And Improved Dual-Threshold, Chunli Zhu, Li Xin Jun 2020

Speech Endpoint Detection Method Based On Lms Noise Reduction And Improved Dual-Threshold, Chunli Zhu, Li Xin

Journal of System Simulation

Abstract: Endpoint detection of speech in low signal-to-noise ratio plays a very important role in voice processing. For a speech signal that is polluted by additive noise, it is possible to suppress the noise and keep the original speech relatively constant. A dual-threshold speech endpoint detection algorithm was proposed based on the least mean squares error (LMS) adaptive filtering. Dual median filtering smoothing was performed before and after double-parameter double-threshold detection. Through the Matlab simulation, the speech endpoint detection method was compared with other methods. In the noise environment with low signal-to-noise ratio, the endpoint detection effect of speech has …

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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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Model Validation Method For Discrete Event Simulation, Niu Shuai, Shenglin Lin, Li Wei, Yang Ming Jun 2020

Model Validation Method For Discrete Event Simulation, Niu Shuai, Shenglin Lin, Li Wei, Yang Ming

Journal of System Simulation

Abstract: Due to the discrete event system with some characteristics like unfixed operation process, flexible entity state and other issues, a comprehensive validation method for discrete event simulation model based on qualitative and quantitative analysis was proposed. The evaluation index system was composed of four aspects that are the consistency of simulation results, logic correctness of events occurrence sequence, consistency of condition events occurrence probability and consistency of activity execution time respectively. A qualitative and quantitative calculation method for the bottom evaluation indexes was proposed. The qualitative analysis method was used to validate logic correctness of events occurrence sequence and …

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Research On Dynamic Authorization Allocation Of Collaborative Virtual Maintenance Based On Cpn Tools, Yunrong Zhang, Zhili Zhang, Shixin Ma Jun 2020

Research On Dynamic Authorization Allocation Of Collaborative Virtual Maintenance Based On Cpn Tools, Yunrong Zhang, Zhili Zhang, Shixin Ma

Journal of System Simulation

Abstract: In order to effectively deal with the concurrent behavior of cooperative virtual maintenance for the same object, a dynamic allocation scheme was proposed to complete the maintenance operation. Before the maintenance task was started, the maintenance steps were planned, and the operation rights were allocated dynamically according to the characteristics of each maintenance step. The idea of allocation and recovery of dynamic operation rights were proposed in multi person cooperative maintenance, discussing the method of ensuring the state uniqueness of maintenance personnel in the process of simulation maintenance. The process of dynamic rights allocation was simulated by colored …

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Novel Automatic Pavement Crack Detection Algorithm, Shangbing Gao, Xie Zheng, Zhigeng Pan, Fangzhe Qin, Li Rui Jun 2020

Novel Automatic Pavement Crack Detection Algorithm, Shangbing Gao, Xie Zheng, Zhigeng Pan, Fangzhe Qin, Li Rui

Journal of System Simulation

Abstract: The complexity of noises covers a wide area of actual road images which causes that it is difficult to detect cracks. An automatic pavement crack detection algorithm was proposed in view of the characteristics of crack image in pavement disease. Gray-scale correction and filtering was used to preprocess the crack image. The maximum interclass variance method and Canny operator were used to detect the edge of the disease image, and then the localization and accurate segmentation algorithm was proposed for the crack image based on the maximum connectivity of the crack in the fracture image. The convolution neural network …

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Research On Technology Of Data Storage And Access In High-Throughput Simulation, Zishuo Wang, Yanlong Zhai, Wenjun Tao, Yang Hao, Zhang Han, Duzheng Qing Jun 2020

Research On Technology Of Data Storage And Access In High-Throughput Simulation, Zishuo Wang, Yanlong Zhai, Wenjun Tao, Yang Hao, Zhang Han, Duzheng Qing

Journal of System Simulation

Abstract: Aiming at the massive data processing requirements of simulation application in the big data environment, the concept and reference structure of high-throughput simulation were proposed and defined in accordance with the architecture and technical characteristics of high-throughput big data computing. For the problem of data access bottleneck in high-throughput simulation, a high-throughput simulation data storage and access system was designed based on distributed memory file system, and the non-volatile memory was integrated to improve the throughput of data access. The experimental results of typical simulation applications show that the high-throughput simulation storage system with distributed memory file system and …

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Design And Application Of Surgical Navigation System Based On Visual Technology, Kun Lan, Zhang Yan, Xukun Shen Jun 2020

Design And Application Of Surgical Navigation System Based On Visual Technology, Kun Lan, Zhang Yan, Xukun Shen

Journal of System Simulation

Abstract: A navigation system based on vision was designed to solve the problem of using complex equipment to assist the real-time tracking of surgical instruments because of low registration of 3D in the existing surgical navigation system. Face point cloud was reconstructed in the patient's space by using the sinusoidal structured light; From rough to precise registration, patient space and model space were made by using facial feature; The three dimensional coordinates of the marker points on surgical instruments was restored by using continuous corner detection algorithm, binocular stereo vision principle and Kalman filter algorithm to obtain accurate position …

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Vehicle Logo Recognition Based On Sparse Sampling And Gradient Distribution Features, Binbin Zhou, Shangbing Gao, Zhigeng Pan, Liangliang Wang, Hongyang Wang Jun 2020

Vehicle Logo Recognition Based On Sparse Sampling And Gradient Distribution Features, Binbin Zhou, Shangbing Gao, Zhigeng Pan, Liangliang Wang, Hongyang Wang

Journal of System Simulation

Abstract: The vehicle logo location and recognition are separated in the traditional method, the location errors will affect the subsequent recognition, at the same time the vehicle logo images are with low resolution and poor quality. Thus, a novel method was proposed which integrated the vehicle logo location and recognition organically. The sample images were sampled by sparse sampling, and then the point set was divided into adjacent point set and non adjacent point set, and the gradient feature and light and dark feature were extracted respectively, constructing the feature library. The logo coarse location area was multi-scale scanned. The …

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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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Novel Hierarchical Level Of Detail Combinatorial Optimization Method For Large-Scale 3d Scene, Che Li, Fengju Kang, Xueli Hou Jun 2020

Novel Hierarchical Level Of Detail Combinatorial Optimization Method For Large-Scale 3d Scene, Che Li, Fengju Kang, Xueli Hou

Journal of System Simulation

Abstract: The traditional design process of large-scale 3D scene is cumbersome and lengthy and fail to provide ideal scene rendering effect. Aiming at this problem, a feedback mechanism based combinatorial optimization of level of detail (LOD) model for large-scale 3D scene was proposed. Through analyzing the influence of observation distance, moving speed and other factors on visual perception, the mathematical model of visual sensitivity was established. By the frame rate and visualization effect feedback, invoking the model level selection criterion to adjust the model's LOD level, and eventually an optimal scene model combination solution could be obtained. Experimental results demonstrate …

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Improved Shuffled Frog-Leaping Algorithm For Solving Flexible Job Shop Scheduling Problem, Xiaoxing Zhang, Wang Yan, Dahu Yan, Zhicheng Ji Jun 2020

Improved Shuffled Frog-Leaping Algorithm For Solving Flexible Job Shop Scheduling Problem, Xiaoxing Zhang, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the characteristics of flexible job shop scheduling problem, a multi-objective scheduling model with maximum completion time and minimum energy consumption was proposed. An improved shuffled frog leaping algorithm was developed. By designing the local updating strategy based on crossover operation of maximum preserved crossover (MPX) and shifting operation of single parent gene algorithm (PGA), it avoided the illegal solution and trimming of the algorithm. Additionally, it accelerated optimization rate of the algorithm. And the optimal solution of the group was optimized by the simplified neighborhood optimization strategy to prevent the algorithm from falling into the local optimum. …

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Data Driven Simulation Of Polluted Gas Dispersion Using Source Estimation And Particle Filter, Rongxiao Wang, Bin Chen, Sihang Qiu, Zhengqiu Zhu, Xiaogang Qiu Jun 2020

Data Driven Simulation Of Polluted Gas Dispersion Using Source Estimation And Particle Filter, Rongxiao Wang, Bin Chen, Sihang Qiu, Zhengqiu Zhu, Xiaogang Qiu

Journal of System Simulation

Abstract: The real-time prediction of the air contaminant dispersion in chemical industry park is important to the emergency management of air pollution accident. Due to the unknown source terms and the error of input parameters in the atmospheric dispersion model, the accuracy of traditional simulation is limited. A data driven atmospheric dispersion simulation based on source estimation and particle filter was proposed. Based on the results of the source estimation, particle filter was applied to assimilate the UAV observation into the dispersion model in real time to calibrate the system state and obtain more accurate prediction results. Experiments show that …

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Speed Regulation Of Pmsm System Based On Nonsingular Terminal Sliding Mode Control, Liu Xiang, Wang Yan, Dahu Yan, Zhicheng Ji Jun 2020

Speed Regulation Of Pmsm System Based On Nonsingular Terminal Sliding Mode Control, Liu Xiang, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: For the purpose of improving the speed regulation of permanent-magnet synchronous motor (PMSM) under disturbances and uncertainties, a nonlinear control algorithm based on nonsingular terminal sliding mode control method (NTSMC) was proposed. A speed tracking controller was presented by introducing a nonsingular terminal sliding mode manifold, which could not only solve the singularity problem but also make the manifold converge to zero in finite time. For the sake of reducing chattering phenomenon caused by discontinuous switching term, which usually contained sign function, a hyperbolic tangent function was utilized accounting for its continuity. Compared with the PI control method, the …

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Energy Efficiency Evaluation Of Discrete Manufacturing System Based On Improved Entropy Method, Zhuqing Peng, Wang Yan, Zhicheng Ji Jun 2020

Energy Efficiency Evaluation Of Discrete Manufacturing System Based On Improved Entropy Method, Zhuqing Peng, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: For the characteristic of dynamic change randomness, variety, complexity and diversity in discrete manufacturing system, nine evaluation indexes were concluded from four aspects including product, equipment, economy and task flow, and energy efficiency evaluation index construction of discrete manufacturing system was structured. An improved entropy method was proposed. As the discrete degree of an index was too large when the entropy method was used to assign weight, the weight of the index would be very large. The idea of Analytic Hierarchy Model was used to improve the entropy method. So the improved entropy method could evaluate the discrete manufacturing …

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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 And Implementation On Source Term Estimation Methods Of Pollution In Chemical Parks, Zhengqiu Zhu, Bin Chen, Sihang Qiu, Rongxiao Wang, Xiaogang Qiu Jun 2020

Research And Implementation On Source Term Estimation Methods Of Pollution In Chemical Parks, Zhengqiu Zhu, Bin Chen, Sihang Qiu, Rongxiao Wang, Xiaogang Qiu

Journal of System Simulation

Abstract: Studying the source term estimation methods of pollution in chemical clusters is effective to avoid accidents, since biochemical disasters have brought great loss to human beings. Safety monitoring of chemical industry parks was modeled via unmanned aerial vehicle (UAV) monitoring system, inverse problem model, ridge regression model, and particle swarm optimization algorithm. Based on that, a practical case was given to analyze results of experiment. Research findings are helpful for risk assessments and emergency management.

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Energy Efficiency Optimization For Discrete Workshop Based On Parametric Knowledge Pigeon Swarm Algorithm, Shan Xin, Wang Yan, Zhicheng Ji Jun 2020

Energy Efficiency Optimization For Discrete Workshop Based On Parametric Knowledge Pigeon Swarm Algorithm, Shan Xin, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the characteristics of complexity, constraint in discrete manufacturing workshop, in order to minimize the total energy consumption of the workshop as the target, discrete knowledge pigeons algorithm was proposed to solve discrete workshop energy efficiency optimization. In this algorithm, parameter knowledge was introduced into the optimization process to balance local search and global search, and the convergence and optimization ability of the algorithm were improved. The discrete process was added to the pigeons algorithm, which not only preserved the convergence and optimization ability of the algorithm, but also made the algorithm capable of dealing with discrete problems. …

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Quick Diagnosis Of Ucav Control Surface Failure And Its Hardware-In-The-Loop Simulation, Guanhua Lu, Xia Jie Jun 2020

Quick Diagnosis Of Ucav Control Surface Failure And Its Hardware-In-The-Loop Simulation, Guanhua Lu, Xia Jie

Journal of System Simulation

Abstract: There are many problems in current detection methods such as conditional limitations and complexity of calculation which make them not easy to be put into practical application. The relationship between the servo motor information and the failure of the control surface was analyzed, and a method of detecting the failure rate of the control surface by using the servo current information in combination with the aerodynamic model was proposed. The result of its hardware-in-the-loop simulation shows that the detection system can quickly and accurately output the failure rate within 1 second which is a conservative estimate. That makes the …

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Study Of Dynamic Economic Load Dispatch Using Particle Swarm Optimization With Multi-Information Characteristics, Huang Song, Wang Yan, Zhicheng Ji Jun 2020

Study Of Dynamic Economic Load Dispatch Using Particle Swarm Optimization With Multi-Information Characteristics, Huang Song, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: According to the characteristics of power system, an model of dynamic economic load dispatch based on multiple fuel resources and 24-hour forecasting load demand was established, and a particle swarm optimizer using multi-information characteristics of all personal-best information was proposed to solve it. In the algorithm, centroid position and median position were defined, and then the personal-best position, centroid position and median position was developed to modify the velocity update formula. The algorithm could reduce the premature phenomenon for solving complex optimization problems, and it could make effectively solve dynamic economic load dispatch. The simulation was conducted to optimize …

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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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