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Articles 3991 - 4020 of 4223

Full-Text Articles in Systems Science

Application Of Wavelet Transform In Simulation Model Validation Of Outboard Active Decoy, Hongxi Zhang, Zhang Jie Jan 2019

Application Of Wavelet Transform In Simulation Model Validation Of Outboard Active Decoy, Hongxi Zhang, Zhang Jie

Journal of System Simulation

Abstract: Aiming at the characteristics that the output signal of outboard active decoy simulation model is non-stationary random signal, a simulation model verification method based on wavelet transform is proposed. The measured and simulated signals are decomposed into low frequency and high frequency parts by determining the wavelet function. For the low frequency part with stationary state, the characteristic data is obtained by parameter fitting with the least square method. For the high frequency part, AR model is used to fit the parameters, and the fitting parameters are used as the characteristic data, The correlation coefficient method is used to …

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Modeling Of Distributed Service Composition System Based On Bipartite Network, Yaohui Hao, Jihong Han, Guo Hong, Shuxin Liu Jan 2019

Modeling Of Distributed Service Composition System Based On Bipartite Network, Yaohui Hao, Jihong Han, Guo Hong, Shuxin Liu

Journal of System Simulation

Abstract: Distributed service composition system is widely used in military, communication and other fields.In order to reveal the system’s characteristics, a bipartite network model is proposed. The relation of sever-node’s degree distribution to the three factors of terminal-node’s expectation, terminal-node’s task load andlocal-world size is analyzed by the mean-field theory undercondition ofload balancing and random selection. Both numerical analysis and simulation results show that local-world and sever-node’s degree distribution are irrelevant with random selection.

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Study Of Simulation And Influence Of Plunger Cavity Cavitation Water Axial Piston Pump, Zegang Sun, Mingheng Xu, Shide Xiao, Yuanlong Dai Jan 2019

Study Of Simulation And Influence Of Plunger Cavity Cavitation Water Axial Piston Pump, Zegang Sun, Mingheng Xu, Shide Xiao, Yuanlong Dai

Journal of System Simulation

Abstract: The finite element calculation model of water axial piston pump is established by the mixture hybrid and RNG κ-ε turbulence model of the Fluent software. The plunger movement and cylinder rotary are simulated by the dynamic mesh and sliding mesh. The UDF (User Defined Function) is used to set the compressibility of the fluid. It is found that the cavitation degree of plunger cavity is strongly related to m value (the ratio of the diameter of the plunger cavity to the equivalent diameter of the cylinder kidney shape hole). The mathematical model of mc without cavitation value is …

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Multi-Objective Vulcanization Workshop Scheduling Based On Improved Harmony Search Algorithm, Wang Yan, Longcheng Wu, Zhicheng Ji, Dahu Yan Jan 2019

Multi-Objective Vulcanization Workshop Scheduling Based On Improved Harmony Search Algorithm, Wang Yan, Longcheng Wu, Zhicheng Ji, Dahu Yan

Journal of System Simulation

Abstract: As a key link in tire production process, the scheduling plan of vulcanization process directly affects the efficiency of the whole tire production process. A discrete encoding method based on vulcanization order - tire number is proposed. An improved harmony search algorithm (IHS) is developed for scheduling the vulcanization workshop with the target of simultaneously minimizing the makespan, die-changing cost and machine idle rate. Vulcanization sequence and tire number are respectively discretized according to the harmony memory considering probability and pitch adjusting probability. The dynamic fine-tuning value is defined to fine-tune the processing number. Finally, the experimental results show …

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Cfd-Based Research On The Erosion Of The Fracturing Pump Valve Structure, Mo Li, Xiaobing Wang, Wang Jun, Guangcai Zhuang Jan 2019

Cfd-Based Research On The Erosion Of The Fracturing Pump Valve Structure, Mo Li, Xiaobing Wang, Wang Jun, Guangcai Zhuang

Journal of System Simulation

Abstract: In view of the characteristic of severe erosion and abrasion in the fracturing pump valve, CFD-based erosion and failure is simulated and computed. The distributed rule of the pump valve lift, times of stroke, the height of the seal and the sealing contact length at a certain moment are shown. By analyzing the characteristic of the flow field from the simulated result and the failure mechanism of the fracturing pump valve, it is concluded that the lift is smaller, the greater is the flow velocity, the high times of stroke will increase the flow rate and the lag …

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Implement Objective Motion Cueing Test On The A320 Full Flight Simulator, Yang Yang Jan 2019

Implement Objective Motion Cueing Test On The A320 Full Flight Simulator, Yang Yang

Journal of System Simulation

Abstract: Pilot’s subjective evaluation has been used for motion cueing tuning and calibration for years, and widely recognized as the major criteria in civil full flight simulator qualification. Due to the diversity of human perception, it is impossible to reproduce the same motion cueing on different simulators. In order to objectively evaluate the A320 full flight simulator motion cueing system performance, an engineering practice has been carried out recently by implementation of the OMCT(Objective Motion Cueing Test)which was published by ICAO in 2015. It aims to measure the signal transport delay between the flight model and motion platform, through analyzing …

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Channel Modeling And Simulation Of Wireless Underground Sensor Networks Based On Magnetic Induction Technology, Zhouzhou Liu, Shen Liang Jan 2019

Channel Modeling And Simulation Of Wireless Underground Sensor Networks Based On Magnetic Induction Technology, Zhouzhou Liu, Shen Liang

Journal of System Simulation

Abstract: Aiming at the problem of high path loss, huge dynamic changes of channel conditions and large antenna size of the electromagnetic wave communication channel in wireless underground sensor networks ( WUSN), the channel characteristics of magnetic induction (MI) in the process of WUSN transmission are studied and the transmission principle of harmonic source in soil strata is analyzed. The influence of the polarization direction of the coil and the eddy current loss coefficient on the channel model is analyzed by the transmission equivalent circuit diagram, and the influence of the change of the frequency and the distance on the …

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Design-Model-Oriented Simulation For High-Speed Railway Dynamics, Xie Xing, Tang Zhao, Jiang Jie, Yisheng Zou, Guofu Ding Jan 2019

Design-Model-Oriented Simulation For High-Speed Railway Dynamics, Xie Xing, Tang Zhao, Jiang Jie, Yisheng Zou, Guofu Ding

Journal of System Simulation

Abstract: The traditional vehicle dynamics focuses more on numerical simulation, which separates from design model. LMS Virtual.Lab Motion - natively integrated in CATIA - is a multi-body dynamics package developed with CAA V5 for mechanical system, which is widely applied in engineering fields, such as aerospace, automotive, etc. But to expand to the dynamics of locomotive vehicle, the bottleneck problem of wheel/rail dynamic interaction should be solved. This paper employs CAA V5 and Motion UDF/UDS functions to create some special force elements which distinguish locomotive vehicles from general multibody system applications, and to integrate wheel/rail interaction solver module which determines …

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Rvm Soft Sensing Model Based On Optimized Combined Kernel Function, Yanan Zhang, Huizhong Yang Jan 2019

Rvm Soft Sensing Model Based On Optimized Combined Kernel Function, Yanan Zhang, Huizhong Yang

Journal of System Simulation

Abstract: An RVM spft sensingmodeling method based onthe optimizedcombined kernel functionis proposed.In order to simultaneously get better prediction and sparsity, a fitness function synthesizing regression accuracy and sparsity is created while constructing a combined kernel functionfor RVM.The genetic algorithm is used to optimize the weights and kernel parametersof the RVMcombined kernel.The proposed method is used totomodela cleavage-recovery unit in the production process of Bisphenol-A.The results show that it can guarantee better sparsity andregression accuracy than the general SVM combinedkernel model andGA-RVM single kernel model.

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Iterative Stochastic Resonance Demodulation Algorithm Of Frequency-Hopping Signal, Haixia Li, Yongfeng Ren, Yuhua Yang, Zhang Baili, Zhumei Tian Jan 2019

Iterative Stochastic Resonance Demodulation Algorithm Of Frequency-Hopping Signal, Haixia Li, Yongfeng Ren, Yuhua Yang, Zhang Baili, Zhumei Tian

Journal of System Simulation

Abstract: In order to improve the demodulation performance of frequency-hopping signals, this paper proposes a digital receiving algorithm based on the bistable stochastic resonance. With the digital samples sifting, the algorithm processes multiple frequency signals in one stochastic resonance system. The conversion from channel noise to useful signal is improved with multiple iterations of signal system. Finally, the local signal is designed to eliminate the frequency distortion in stochastic resonance system through the relevant calculation. Theoretical analysis and simulation results show that the algorithm can demodulate frequency-hopping signal, and its performance can be improved with the increase of sampling rate. …

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Research On Two-Dimensional Imaging Algorithm Of Tomography For Near-Field Radiation Of Rf Objects, Shaohui Quan, Changtai Shi, Xuwang Cui, Bin Shi Jan 2019

Research On Two-Dimensional Imaging Algorithm Of Tomography For Near-Field Radiation Of Rf Objects, Shaohui Quan, Changtai Shi, Xuwang Cui, Bin Shi

Journal of System Simulation

Abstract: Two two-dimensional imaging algorithms of tomography are presented for observing different sections of RF objects. Two-dimensional images of the cross and coronal sections of the model are obtained based on the near-field radiation data calculated by FEKO. The effects of different variables on the imaging resolution are studied by changing near field scanning points and distance between the observation plane and RF objects. After the analysis of the simulation results, the proposed algorithms are compared with other imaging algorithms from different aspects. The advantages and limitations are discussed. The change of images and the corresponding solution are studied …

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Adaptive Generation Algorithm Of Tetrahedral Meshes Based On Density Field, Jidong Wang, Lipeng Fan, Mingyong Pang Jan 2019

Adaptive Generation Algorithm Of Tetrahedral Meshes Based On Density Field, Jidong Wang, Lipeng Fan, Mingyong Pang

Journal of System Simulation

Abstract: We present an algorithm for adaptively generating tetrahedral mesh by constructing the density field of a surface model. A uniform sampled point set is first generated inside the axial bounding box of the surface model. A non-uniform density field is defined according to the surface boundary of the model. Under the control of the density field, the centroidal Voronoi tessellation of the point set is constructed by using iterative method, and the distribution of the point set is optimized adaptively via dynamically adding or deleting points. Taking the points inside the surface model as the insertion points, a tetrahedral …

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Dynamics Simulation Of Breaking Underwater Cable Based On Lumped Mass Method, Zhongxian Zhu, Yin Yong, Helong Shen Jan 2019

Dynamics Simulation Of Breaking Underwater Cable Based On Lumped Mass Method, Zhongxian Zhu, Yin Yong, Helong Shen

Journal of System Simulation

Abstract: In order to numerically simulate and predict the dynamics behavior of a breaking cable, the dynamics model of the underwater cable is built up based on the lumped mass method, and the classical Runge-Kutta method is used to solve the model. The breaking cable is simulated by exerting appropriate boundary conditions. The dynamics behaviors of immediately and slowly breaking cable are studied. The results indicate that the velocity of the nodes around the breaking point reaches the maximum in a very short time, and then the disturbance propagates outside in form of elastic-wave. Tension and velocity distribute more uniformly …

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Invulnerability Simulation Analysis Of Compound Traffic Network In Urban Agglomeration, Chengbing Li, Wei Lei, Tianwei Lu, Gao Wei Jan 2019

Invulnerability Simulation Analysis Of Compound Traffic Network In Urban Agglomeration, Chengbing Li, Wei Lei, Tianwei Lu, Gao Wei

Journal of System Simulation

Abstract: To ensure the security operations of urban agglomeration transportation system, the perspective on compound network is used to explore the invulnerability of urban agglomeration traffic network. The site mapping method is used to build the model of weighted compound traffic network in city agglomeration. The traditional invulnerability metrics is revised and the attack strategies are determined according to the structure of the network. Hu-Bao-E city agglomeration is taken as an example to build the weighted compound traffic network model which is composed of road network and rail transit network, simulating the invulnerability and identifying key nodes in the …

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From Situation Cognition Stepped Into Situation Intelligent Cognition, Zhu Feng, Xiaofeng Hu, Wu Lin, Xiaoyuan He, Xuezhi Lü, Liao Ying Jan 2019

From Situation Cognition Stepped Into Situation Intelligent Cognition, Zhu Feng, Xiaofeng Hu, Wu Lin, Xiaoyuan He, Xuezhi Lü, Liao Ying

Journal of System Simulation

Abstract: Aimed at operational situation cognition and some relevant problems under the background of the Joint-Tactical, some deep researches are carried out in this paper. The concept models of combat situation cognition and situation intelligent cognition are proposed respectively, and some related concepts are clarified. The situation intelligent cognition technology framework is proposed, and five key problems which should be solved are analyzed, and the possible technical routes are given. These research contents and achievements build a foundation for stepping into the situation intelligent cognition from combat situation cognition.

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Security Evaluation Techniques And Network Performance Simulation Based On Queue Model, Lifang Liu, Lisha Zhao, Xiaogang Qi, Xiong Wei Jan 2019

Security Evaluation Techniques And Network Performance Simulation Based On Queue Model, Lifang Liu, Lisha Zhao, Xiaogang Qi, Xiong Wei

Journal of System Simulation

Abstract: With the booming development of Internet technology, network security threats force every country to pay more and more attention to network security. By analyzing and summarizing the principles of network security threats, three kinds of proactive security threats are proposed in this paper, including saturation security threats, deleting security threats, and tampering security threats. OPNET is employed as the simulation tool to establish multi-service communications network model, in which the node are based on the queuing theory model. In addition, different traffic intensity parameters are designed to simulate the network performance under various running situations. Fuzzy comprehensive evaluation …

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Multi Criterion Variable Weight Comprehensive Evaluation Method Of Guidance And Control System, Yuxiao Wang, Songyan Wang, Chao Tao, Yang Ming Jan 2019

Multi Criterion Variable Weight Comprehensive Evaluation Method Of Guidance And Control System, Yuxiao Wang, Songyan Wang, Chao Tao, Yang Ming

Journal of System Simulation

Abstract: The evaluation of guidance and control system is necessary in the process of vehicle development. In view of lacking of effective comprehensive evaluation methods and the corresponding auxiliary software, the performance evaluation methods of vehicle guidance and control systems are researched, the structure of the system is analyzed, and a hierarchical performance evaluation index system is established. Considering the varying degrees of the data reliability and independence of each index, a variable-weight comprehensive method with multi-criteria is proposed. A performance evaluation example of vehicle guidance and control system is given which shows that the proposed method weights the …

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Multi-Scale Representation Of Battlefield Situation, Yafeng Huang, Xudong Li, Hangfeng Zhang Jan 2019

Multi-Scale Representation Of Battlefield Situation, Yafeng Huang, Xudong Li, Hangfeng Zhang

Journal of System Simulation

Abstract: This paper studies the multi-scale representation of battlefield situation at the conceptual level in different aspects, such as the concept of situation scale, scale transformation and typical styles of multi-scale representation. The scale of battlefield situation as the Cartesian product of two sets is defined, in which the first set contains space, time, and semantics; the other set contains breadth, granularity, and ratio. The scale transformation is classified into two types: scale downward and scale upward. The scale transformation is decomposed into three basic operations, i.e. breadth transformation, transformation and visualization derivation. The study points out that FIOP, LOD …

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Time-Frequency Analysis Of Partial Discharge Signal Based On Vmd And Wigner-Ville Distribution, Yafei Jia, Yongli Zhu, Liuwang Wang Jan 2019

Time-Frequency Analysis Of Partial Discharge Signal Based On Vmd And Wigner-Ville Distribution, Yafei Jia, Yongli Zhu, Liuwang Wang

Journal of System Simulation

Abstract: To effectively analyze the time-frequency characteristics of partial discharge signals of high voltage electrical equipment, a novel time-frequency analysis method based on variational mode decomposition (VMD) and Wigner-Ville distribution (VMD-WVD) was proposed, which effectively solves the problem of cross term interference in the Wigner-Ville distribution method. The known partial discharge signals were decomposed by VMD and the mode components were extracted. These Wigner-Ville distributions of mode components were computed and the Wigner-Ville of each component signal was added linearly to reconstruct the Wigner-Ville of the original signal. The proposed method was applied to analyze simulation signals and measured partial …

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Improved Cpls Algorithm And Its Application In Process Monitoring, Qinghua Li, Pan Feng, Zhonggai Zhao Jan 2019

Improved Cpls Algorithm And Its Application In Process Monitoring, Qinghua Li, Pan Feng, Zhonggai Zhao

Journal of System Simulation

Abstract: Concurrent PLS (CPLS) further extracts information from the residuals of input variables and quality variables drawn by PLS, thus the raw data are projected into five subspaces. The process monitoring based CPLS provides a whole framework for the monitoring of input variables and quality variables. The model for residuals is developed by a deterministic manner while the residuals are inherently stochastic; therefore a probabilistic model is more proper for describing their features. This paper introduces factor analysis (FA) into CPLS, in which FA instead of PCA is used to analyze the residuals to develop the improved CPLS model, and …

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Pmlsm Without Position Sensing Control Of Double Forgettingkalman Filter, Zhu Jun, Xiangjun Li, Rongbing Fu, Yuhang Wu, Tian Miao Jan 2019

Pmlsm Without Position Sensing Control Of Double Forgettingkalman Filter, Zhu Jun, Xiangjun Li, Rongbing Fu, Yuhang Wu, Tian Miao

Journal of System Simulation

Abstract: UsingextendedKalmanfilter (EKF) to estimate the position of permanent magnet linear synchronous motor(PMLSM), the model is not accurate, the noise properties areuncertain,and may lead to the problem of filtering divergence.Adouble forgetting Kalman filter (DFKF) method was proposed. Adaptive fading factor on the basisof EKF was introduced to achieve the first forgetting,andthe Sage-Husa adaptive filter algorithm was introduced to realize the second forgetting. The experiments show that DFKF diminishesaccording to the law of sineregardless synchronous speed change or load mutation;the stable error is 0.469% or 0.943% before or after the load mutation; the final error stabilizes near 0.167%;the …

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Situation Assessment Approach For Air Defense Operation System Based On Force-Sparsed Stacked-Auto Encoding Neural Networks, Shengming Guo, Xiaoyuan He, Wu Lin, Xiaofeng Hu Jan 2019

Situation Assessment Approach For Air Defense Operation System Based On Force-Sparsed Stacked-Auto Encoding Neural Networks, Shengming Guo, Xiaoyuan He, Wu Lin, Xiaofeng Hu

Journal of System Simulation

Abstract: Aiming at the difficulty of feature extraction and related generation mechanism analysis for complex Air Defense System of Systems (ADSOS) using traditional data mining method, a novel situation assessment approach based on Force-Sparsed Stacked-Auto Encoding Neural Networks (FS-SAE) is proposed. Combined with big data and complex networks technology, FS-SAE situation assessment model is built. The emergence relations between the capacity indexes of ADSOS are formalized. And then, the formation mechanism and the contribution rate of capacity indexes are studied and the validity of this approach is validated by the simulation data. The experimental results show that formalized presentation …

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A Deep Spatio-Temporal Rnns Based Coordinated Operational Action Recognition, Yi Zhuo, Liao Ying, Xiaofeng Hu, Xuehui Du, Zhu Feng Jan 2019

A Deep Spatio-Temporal Rnns Based Coordinated Operational Action Recognition, Yi Zhuo, Liao Ying, Xiaofeng Hu, Xuehui Du, Zhu Feng

Journal of System Simulation

Abstract: To address the issues of large feature space, numerous model parameters and slow training speed in coordinated operation action recognition, a coordinated operational action recognition method based on a deep spatio-temporal recurrent neural network is proposed. In this method, a warped region generation mechanism is introduced to divide the whole battlefield into sub-battlefield. Meanwhile, a hierarchical recurrent neural network is constructed using spatio-temporal graph model, which is applied to the generated sub-battlefield to recognize coordinated operational action. Additionally, the recognized coordinated operational actions of sub-battlefields are merged to find out all coordinated operational actions based on the principle of …

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Forestry Fire Spatial Diffusion Model Based On Multi-Agent Algorithm With Cellular Automata, Guoxiong Zhou, Wu Qi, Aibin Chen Jan 2019

Forestry Fire Spatial Diffusion Model Based On Multi-Agent Algorithm With Cellular Automata, Guoxiong Zhou, Wu Qi, Aibin Chen

Journal of System Simulation

Abstract: In view that forestry fire has the nature of multi-phase and multi-component, a forestry fire spatial diffusion model based on multi-agent algorithm with cellular automata is proposed. A method based on Wang Zhengfei-CA model is employed to approximately simulate the spread of forestry fire. On the basis of the status transition rule determined by CA and using the self-learning and variation methods of multi-agent algorithm, the measured forestry fire pattern is most similar to CA rule-driven evolution model and the CA rule can be automatically optimized. By comparatively analyzing the simulation results of the traditional Rothermel model and the …

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Evolutionary Simulation On User Behavior Of Learning-Oriented Network Community, Lina Jiang, Xiaohong Shan, Xiaoyan Liu, Li Hong Jan 2019

Evolutionary Simulation On User Behavior Of Learning-Oriented Network Community, Lina Jiang, Xiaohong Shan, Xiaoyan Liu, Li Hong

Journal of System Simulation

Abstract: As the Learning-Oriented network platform aims to share knowledge, its users’ behavior is different from that of other network communities. Based on the Mental Accounting Theory, affecting factors of the users’ behavior is analyzed with Structural Equation Model. The simulation model using social computing method is established. This paper makes the comparative analysis on the NETLOGO simulation platform to explore and summarize the rules of users’ behavior. The final mental accounts including "Gaining Knowledge", "Learning Interest", "Sense of Belonging", and "Time". According to the conclusions and experiments, This paper provides the basis of decision making for the …

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A New Image Encryption Algorithm Based On Chaos, Li Lin, Liuyong Kong Jan 2019

A New Image Encryption Algorithm Based On Chaos, Li Lin, Liuyong Kong

Journal of System Simulation

Abstract: In order to increase the security of single chaotic systems, this paper proposesa new image encryption algorithm based on Chen chaotic system, cellular automaton and DNA. The 3-dimension Chen chaotic system is used to generate a pseudo random sequence. The DNA dynamic encoding on plain-text image and cellular automation is completed based on the transformed sequence. The DNA sequence of the plain-text image is divided into blocks, which arethen reorganized. These new groups of the DNA sequence of plain-text are combined with the DNA sequence of cellular automation to carry out the mixed operation with the cipher-text cross diffusion …

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Computation And Analysis For Coupling Scattering Characteristics Of Low-Fly Target Above Ocean Surface, Guanghui Wu, Chuangming Tong, Dongxun Sui, Yulong Sun Jan 2019

Computation And Analysis For Coupling Scattering Characteristics Of Low-Fly Target Above Ocean Surface, Guanghui Wu, Chuangming Tong, Dongxun Sui, Yulong Sun

Journal of System Simulation

Abstract: Aiming at fast computation of the composite scattering of low-fly target and ocean surface, the improvement of conventional multi-path algorithm is implemented, and a new multi-path algorithm is proposed based on the statistics of mirror facets’ slope. New algorithm takes the modulation from gravity into account in comparison with conventional algorithm. The distribution of mirror facets’ slope is counted from a determined ocean surface, and the multi-path coupling is summed with a weight coefficient, which scatters from mirror facets with different slope. Furthermore, the coupling scattering characteristic is obtained from target and ocean surface. Simulation result indicates that the …

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Optimizing Control Of Total Heat Supply Based On Machine Learning, Li Qi, Xingqi Hu, Jianmin Zhao Jan 2019

Optimizing Control Of Total Heat Supply Based On Machine Learning, Li Qi, Xingqi Hu, Jianmin Zhao

Journal of System Simulation

Abstract: The central heating system has complex structure, along with the characteristics of hysteresis, strong coupling and nonlinear. Contraposing the problem that the process is difficult to be identified and controlled by the mechanism modeling, an optimal control method of heat source total heat production based on machine learning is proposed. The heat source model of central heating system is established by BP neural network and long short-term memory neural network. Under the premise of meeting the demand of heating quality, with the total energy consumption as the optimization objective, the optimal control sequence of water supply temperature and water …

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Integrated Simulation Of Mixed Traffic Flow On Elementary And Middle School Gate’S Road When Students Going To School, Mingbao Pang, Yanan Pei, Zhang Ning Jan 2019

Integrated Simulation Of Mixed Traffic Flow On Elementary And Middle School Gate’S Road When Students Going To School, Mingbao Pang, Yanan Pei, Zhang Ning

Journal of System Simulation

Abstract: Synthesizing the advantages and disadvantages of social force model (SFM) and cellular automaton model (CAM), a simulation model of mixed traffic flow including pedestrian, motor vehicle and non-motorized vehicle on the interference road section of elementary and middle school’s gate when students going to school was established. The traffic flow characteristics after changing the proportion of students going to school by private car and implementing different traffic organization schemes were analyzed. The results of the examples indicate that its organization phenomena can be realized by decreasing the proportion of pupils taking private cars and implementing different measures of traffic …

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Simulation Optimization On Multi-Ports Slot Plan Problem Considering Dispatching Sequence Of Containers In Yard, Zhang Yu, Huimin Cheng, Xu Jin, Tian Wei, Junfeng Sun Jan 2019

Simulation Optimization On Multi-Ports Slot Plan Problem Considering Dispatching Sequence Of Containers In Yard, Zhang Yu, Huimin Cheng, Xu Jin, Tian Wei, Junfeng Sun

Journal of System Simulation

Abstract: The multi-ports slot plan problem considering dispatching sequence of containers in yard is solved by an integer linear programming model, which minimizes heeling moment. The influences of different dispatching rules on solving the problem are simulated and analyzed through the programming model. Accordingly, a simulation optimization model based on genetic algorithm is constructed in order to enhance the computational efficiency. The simulation optimization model simulates the process of dispatching containers and loading vessel. The feasible solution is constructed through rules sets and inputted into the optimization model. An efficient encoding and decoding solutions are developed in genetic algorithm, …

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