复杂系统建模与仿真(英文)最新文献

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State-of-the-Art Development of Complex Systems and Their Simulation Methods 复杂系统的最新发展及其仿真方法
复杂系统建模与仿真(英文) Pub Date : 2021-12-01 DOI: 10.23919/CSMS.2021.0025
Yiming Tang;Lin Li;Xiaoping Liu
{"title":"State-of-the-Art Development of Complex Systems and Their Simulation Methods","authors":"Yiming Tang;Lin Li;Xiaoping Liu","doi":"10.23919/CSMS.2021.0025","DOIUrl":"https://doi.org/10.23919/CSMS.2021.0025","url":null,"abstract":"The research on complex systems is different from that on general systems because the former must consider self-organization, emergence, uncertainty, predetermination, and evolution. As an important method to transform the world, a simulation is one of the most important skills to discover complex systems. In this study, we provide a survey on complex systems and their simulation methods. Initially, the development history of complex system research is summarized from two main lines. Then, the eight common characteristics of the most complex systems are presented. Furthermore, the simulation methods of complex systems are introduced in detail from four aspects, namely, meta-synthesis methods, complex networks, intelligent technologies, and other methods. From the overall point of view, intelligent technologies are the driving force, and complex networks are the advanced structure. Meta-synthesis methods are the integration strategy, and other methods are the supplements. In addition, we show three complex system simulation examples: digital reactor simulation, simulation of a logistics system in the industrial site, and crowd evacuation simulation. The examples show that a simulation is a useful means and an important method in complex system research. Finally, the future development prospects for complex systems and their simulation methods are suggested.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"1 4","pages":"271-290"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9420428/9673697/09673699.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49945129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Review of Reinforcement Learning Based Intelligent Optimization for Manufacturing Scheduling 基于强化学习的制造调度智能优化研究进展
复杂系统建模与仿真(英文) Pub Date : 2021-12-01 DOI: 10.23919/CSMS.2021.0027
Ling Wang;Zixiao Pan;Jingjing Wang
{"title":"A Review of Reinforcement Learning Based Intelligent Optimization for Manufacturing Scheduling","authors":"Ling Wang;Zixiao Pan;Jingjing Wang","doi":"10.23919/CSMS.2021.0027","DOIUrl":"https://doi.org/10.23919/CSMS.2021.0027","url":null,"abstract":"As the critical component of manufacturing systems, production scheduling aims to optimize objectives in terms of profit, efficiency, and energy consumption by reasonably determining the main factors including processing path, machine assignment, execute time and so on. Due to the large scale and strongly coupled constraints nature, as well as the real-time solving requirement in certain scenarios, it faces great challenges in solving the manufacturing scheduling problems. With the development of machine learning, Reinforcement Learning (RL) has made breakthroughs in a variety of decision-making problems. For manufacturing scheduling problems, in this paper we summarize the designs of state and action, tease out RL-based algorithm for scheduling, review the applications of RL for different types of scheduling problems, and then discuss the fusion modes of reinforcement learning and meta-heuristics. Finally, we analyze the existing problems in current research, and point out the future research direction and significant contents to promote the research and applications of RL-based scheduling optimization.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"1 4","pages":"257-270"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9420428/9673697/09673698.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49945135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
Total Contents 全部内容
复杂系统建模与仿真(英文) Pub Date : 2021-12-01 DOI: 10.23919/CSMS.2021.9673717
{"title":"Total Contents","authors":"","doi":"10.23919/CSMS.2021.9673717","DOIUrl":"https://doi.org/10.23919/CSMS.2021.9673717","url":null,"abstract":"","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"1 4","pages":"I-II"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9420428/9673697/09673717.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49945132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hybrid Deep Learning Model for Short-Term Wind Speed Forecasting Based on Time Series Decomposition and Gated Recurrent Unit 基于时间序列分解和门控循环单元的短期风速预测混合深度学习模型
复杂系统建模与仿真(英文) Pub Date : 2021-12-01 DOI: 10.23919/CSMS.2021.0026
Changtong Wang;Zhaohua Liu;Hualiang Wei;Lei Chen;Hongqiang Zhang
{"title":"Hybrid Deep Learning Model for Short-Term Wind Speed Forecasting Based on Time Series Decomposition and Gated Recurrent Unit","authors":"Changtong Wang;Zhaohua Liu;Hualiang Wei;Lei Chen;Hongqiang Zhang","doi":"10.23919/CSMS.2021.0026","DOIUrl":"https://doi.org/10.23919/CSMS.2021.0026","url":null,"abstract":"Accurate wind speed prediction has been becoming an indispensable technology in system security, wind energy utilization, and power grid dispatching in recent years. However, it is an arduous task to predict wind speed due to its variable and random characteristics. For the objective to enhance the performance of forecasting short-term wind speed, this work puts forward a hybrid deep learning model mixing time series decomposition algorithm and gated recurrent unit (GRU). The time series decomposition algorithm combines the following two parts: (1) the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), and (2) wavelet packet decomposition (WPD). Firstly, the normalized wind speed time series (WSTS) are handled by CEEMDAN to gain pure fixed-frequency components and a residual signal. The WPD algorithm conducts the second-order decomposition to the first component that contains complex and high frequency signal of raw WSTS. Finally, GRU networks are established for all the relevant components of the signals, and the predicted wind speeds are obtained by superimposing the prediction of each component. Results from two case studies, adopting wind data from laboratory and wind farm, respectively, suggest that the related trend of the WSTS can be separated effectively by the proposed time series decomposition algorithm, and the accuracy of short-time wind speed prediction can be heightened significantly mixing the time series decomposition algorithm and GRU networks.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"1 4","pages":"308-321"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9420428/9673697/09673701.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49945130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Emergency Supply Control from the Perspectives of Peacetime and Wartime: A System Dynamics Simulation 平战视角下的应急供给控制:系统动力学仿真
复杂系统建模与仿真(英文) Pub Date : 2021-12-01 DOI: 10.23919/CSMS.2021.0016
Yuqing Qi;Xinglei Zhao;Heba El-Sayed;Bin Wu
{"title":"Emergency Supply Control from the Perspectives of Peacetime and Wartime: A System Dynamics Simulation","authors":"Yuqing Qi;Xinglei Zhao;Heba El-Sayed;Bin Wu","doi":"10.23919/CSMS.2021.0016","DOIUrl":"10.23919/CSMS.2021.0016","url":null,"abstract":"The supply of emergency materials is the fundament of emergency rescues. In view of the demand for emergency materials in major calamities, in this paper, a system dynamics model of emergency materials is constructed from the perspectives of wartime and peacetime. By setting and controlling the relevant parameters and variables, the influence of a variable on the demand and supply of emergency materials and the influence of government strategies on the quantity and provision of emergency material supply are analyzed. We explore the measures that can better ensure the supply to stabilize the social and economic security of the country. The results show that the emergency degree of an event will lead to increases in the amount of government expenditures and in the duration of such expenditures. Meanwhile, the increase in emergency cases will increase the variation range of the supply and demand deviation curve, lengthen the response time to demand, and fasten the growth trend of material supply. The Chinese government adopts comprehensive regulation and control mode, which make the supply and demand reach the equilibrium state more than twice as fast as other control methods. In addition, the promotion of publicity will improve the number of civil materials. A high inflation rate will lead to high imports of government materials, which will consequently affect the supply of emergency materials. The above research findings have important reference significance for the government's emergency materials management.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"1 4","pages":"322-334"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9420428/9673697/09673702.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43787918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Study on Optimization of Passenger Flow at a Metro Station Based on AnyLogic—Case Study of Youfangqiao Station of Nanjing Metro Line 2 地铁车站客流优化研究——以南京地铁2号线油坊桥站为例
复杂系统建模与仿真(英文) Pub Date : 2021-09-01 DOI: 10.23919/CSMS.2021.0009
Weihong Ni;Jiahao Yu;Hong Cai;Meimei Bai;Bin Wu
{"title":"Study on Optimization of Passenger Flow at a Metro Station Based on AnyLogic—Case Study of Youfangqiao Station of Nanjing Metro Line 2","authors":"Weihong Ni;Jiahao Yu;Hong Cai;Meimei Bai;Bin Wu","doi":"10.23919/CSMS.2021.0009","DOIUrl":"10.23919/CSMS.2021.0009","url":null,"abstract":"In this study, simulation software AnyLogic was used to establish a station simulation model for a metro line. First, a basic model of the environment of the metro station was drawn, and accordingly, reasonable assumptions and simplifications were proposed. Then, a diagram of the passenger walking path was created and the simulation variables and functions for passenger flow management were designed. Considering Youfangqiao Station of Nanjing Metro Line 2 in China as an example, the real passenger flow data of this station were statistically analyzed. To simulate the station passenger flow management, input parameters such as the passenger space diameter, passenger flow generation rate, delay rate of automatic fare collection equipment and security check machine, and the number of gates were considered. Passenger flow management was optimized for the morning and evening peak periods, and reasonable suggestions were proposed based on the optimization results, providing a theoretical basis for the construction planning and pre-evaluation of station operation capacities of urban rail transit systems.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"1 3","pages":"242-252"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9420428/9600623/09600622.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41506043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Evaluation System and Correlation Analysis for Determining the Performance of a Semiconductor Manufacturing System 半导体制造系统性能评价体系及相关分析
复杂系统建模与仿真(英文) Pub Date : 2021-09-01 DOI: 10.23919/CSMS.2021.0015
Qingyun Yu;Li Li;Hui Zhao;Ying Liu;Kuo-Yi Lin
{"title":"Evaluation System and Correlation Analysis for Determining the Performance of a Semiconductor Manufacturing System","authors":"Qingyun Yu;Li Li;Hui Zhao;Ying Liu;Kuo-Yi Lin","doi":"10.23919/CSMS.2021.0015","DOIUrl":"10.23919/CSMS.2021.0015","url":null,"abstract":"Numerous performance indicators exist for semiconductor manufacturing systems. Several studies have been conducted regarding the performance optimization of semiconductor manufacturing systems. However, because of the complex manufacturing processes, potential complementary or inhibitory correlations may exist among performance indicators, which are difficult to demonstrate specifically. To analyze the correlation between the performance indicators, this study proposes a performance evaluation system based on the mathematical significance of each performance indicator to design statistical schemes. Several samples can be obtained by conducting simulation experiments through the performance evaluation system. The Pearson correlation coefficient method and canonical correlation analysis are used on the received samples to analyze linear correlations between the performance indicators. Through the investigation, we found that linear and other complex correlations exist between the performance indicators. This finding can contribute to our future studies regarding performance optimization for the scheduling problems of semiconductor manufacturing.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"1 3","pages":"218-231"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9420428/9600623/09600619.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41594524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Multicommodity Flow Modeling for the Data Transmission Scheduling Problem in Navigation Satellite Systems 卫星导航系统数据传输调度问题的多商品流建模
复杂系统建模与仿真(英文) Pub Date : 2021-09-01 DOI: 10.23919/CSMS.2021.0019
Jungang Yan;Lining Xing;Chao Li;Zhongshan Zhang
{"title":"Multicommodity Flow Modeling for the Data Transmission Scheduling Problem in Navigation Satellite Systems","authors":"Jungang Yan;Lining Xing;Chao Li;Zhongshan Zhang","doi":"10.23919/CSMS.2021.0019","DOIUrl":"10.23919/CSMS.2021.0019","url":null,"abstract":"Introducing InterSatellite Links (ISLs) is a major trend in new-generation Global Navigation Satellite Systems (GNSSs). Data transmission scheduling is a crucial problem in the study of ISL management. The existing research on intersatellite data transmission has not considered the capacities of ISL bandwidth. Thus, the current study is the first to describe the intersatellite data transmission scheduling problem with capacity restrictions in GNSSs. A model conversion strategy is designed to model the aforementioned problem as a length-bounded single-path multicommodity flow problem. An integer programming model is constructed to minimize the maximal sum of flows on each intersatellite edge; this minimization is equivalent to minimizing the maximal occupied ISL bandwidth. An iterated tree search algorithm is proposed to resolve the problem, and two ranking rules are designed to guide the search. Experiments based on the BeiDou satellite constellation are designed, and results demonstrate the effectiveness of the proposed model and algorithm.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"1 3","pages":"232-241"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9420428/9600623/09600644.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43333593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Multidirection Update-Based Multiobjective Particle Swarm Optimization for Mixed No-Idle Flow-Shop Scheduling Problem 基于多方向更新的混合无空闲流车间调度问题多目标粒子群优化
复杂系统建模与仿真(英文) Pub Date : 2021-09-01 DOI: 10.23919/CSMS.2021.0017
Wenqiang Zhang;Wenlin Hou;Chen Li;Weidong Yang;Mitsuo Gen
{"title":"Multidirection Update-Based Multiobjective Particle Swarm Optimization for Mixed No-Idle Flow-Shop Scheduling Problem","authors":"Wenqiang Zhang;Wenlin Hou;Chen Li;Weidong Yang;Mitsuo Gen","doi":"10.23919/CSMS.2021.0017","DOIUrl":"10.23919/CSMS.2021.0017","url":null,"abstract":"The Mixed No-Idle Flow-shop Scheduling Problem (MNIFSP) is an extension of flow-shop scheduling, which has practical significance and application prospects in production scheduling. To improve the efficacy of solving the complicated multiobjective MNIFSP, a MultiDirection Update (MDU) based Multiobjective Particle Swarm Optimization (MDU-MoPSO) is proposed in this study. For the biobjective optimization problem of the MNIFSP with minimization of makespan and total processing time, the MDU strategy divides particles into three subgroups according to a hybrid selection mechanism. Each subgroup prefers one convergence direction. Two subgroups are individually close to the two edge areas of the Pareto Front (PF) and serve two objectives, whereas the other one approaches the central area of the PF, preferring the two objectives at the same time. The MDU-MoPSO adopts a job sequence representation method and an exchange sequence-based particle update operation, which can better reflect the characteristics of sequence differences among particles. The MDU-MoPSO updates the particle in multiple directions and interacts in each direction, which speeds up the convergence while maintaining a good distribution performance. The experimental results and comparison of six classical evolutionary algorithms for various benchmark problems demonstrate the effectiveness of the proposed algorithm.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"1 3","pages":"176-197"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9420428/9600623/09600624.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48775142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Call for Papers: Special Issue on Computational Intelligence Methods for Big Data Analytics under Uncertain Environments 论文征集:不确定环境下大数据分析的计算智能方法特刊
复杂系统建模与仿真(英文) Pub Date : 2021-09-01 DOI: 10.23919/CSMS.2021.0021
{"title":"Call for Papers: Special Issue on Computational Intelligence Methods for Big Data Analytics under Uncertain Environments","authors":"","doi":"10.23919/CSMS.2021.0021","DOIUrl":"10.23919/CSMS.2021.0021","url":null,"abstract":"","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"1 3","pages":"255-256"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9420428/9600623/09600645.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45988333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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