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| 1 | 工业智能与工业互联网共性关键技术显示文摘工业互联网作为新一代信息技术与制造业深度融合的产物,是以数字化、网络化、智能化为主要特征的新工业革命的关键基础设施。工业智能的核心目标是借助人工智能技术,实现制造过程自动化、信息化与智能化,从而整体优化产品全生命周期制造全流程。为此,以工业4.0及“中国制造2025”为背景,对工业智能与工业互联网的关键技术进行分析,研究工业智能的技术演进路线,论述工业智能及工业互联网的发展现状及现存问题,结合典型行业智能制造转型升级案例提出具体应用领域解决方案,以期为企业工业智能发展提供参考。 | 赵付青 刘欢 朱波 刘岳宝 | 2022 | 软件导刊2022，21，10： | 4 |
| 2 | An Evolutionary Adaptive System for Prediction of Strategy Influence:A Case Study of Government Regulation Guided Brand Innovation显示文摘Decision making is one of the common human activities.But in complex,interactive,and dynamic systems,it is extremely important to make decisions scientifically because the influence of the behavior after decision making is generally irreversible.The predictability of behavior influence is an effective way to improve the scientific decision making.As a new branch of computing,computational experiment is an emerging management method for research on complex systems.In this paper,based on particle swarm intelligence,an evolutionary adaptive system model of brand innovation in the toy industry cluster is constructed.By imitating the evolution process of the complex adaptive system,this method is helpful to analyze the impact of the management behavior brought to simulation system,predict the management behavior in real world,and finally choose the best management strategy.This simulation tried to figure out the affection of government regulation strategies and provide corresponding assessments and recommendations,which gives a new solution to assist the government to effectively judge the influence of the macro policy,as well as provides a new way of thinking of the related intelligent decision making. | Jiali Lin Qiaomei Li Guangsheng Lin Zhihui He Dazhi Jiang Hao Liu | 2022 | Complex System Modeling and Simulation2022，2，3： | 0 |
| 3 | A Discrete Artificial Bee Colony Algorithm for Stochastic Vehicle Scheduling显示文摘Vehicle scheduling plays a profound role in public transportation.Especially,stochastic vehicle scheduling may lead to more robust schedules.To solve the stochastic vehicle scheduling problem(SVSP),a discrete artificial bee colony algorithm(DABC)is proposed.Due to the discreteness of SVSP,in DABC,a new encoding and decoding scheme with small dimensions is designed,whilst an initialization rule and three neighborhood search schemes(i.e.,discrete scheme,heuristic scheme,and learnable scheme)are devised individually.A series of experiments demonstrate that the proposed DABC with any neighborhood search scheme is able to produce better schedules than the benchmark results and DABC with the heuristic scheme performs the best among the three proposed search schemes. | Yuanyuan Li Yindong Shen Jingpeng Li | 2022 | Complex System Modeling and Simulation2022，2，3： | 0 |
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