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个人简介

孟凡超,博士、副教授,硕士生导师,软件工程系主任,中国计算机学会高级会员。主要研究方向:智能计算、车辆优化调度、装箱问题、深度强化学习、云计算与边缘计算、SaaS应用平台、智慧物流等。作为负责人主持国家重点研发计划项目课题1项、国家科技支撑计划项目子课题2项、山东重点研发计划项目1项,山东省科技攻关项目2项、山东省自然科学基金项目2项、企业横向课题2项;参与国家、省部级项目10余项。在国内外学术期刊和会议上发表论文50余篇,EI/SCI检索30余篇,申请发明专利12项,已授权9项,取得软件著作权10余项。获山东省科技进步二等奖2次、山东省科技进步三等奖1次、威海市科技进步一等奖1次。 科研项目 大规模在线应用云资源供应理论与方法研究,山东省自然科学基金面上项目,2021.1-2023.12 物流资源整合优化及非标产品与服务共享技术研究,国家重点研发计划项目课题,2019.6-2022.5 面向数据中心节能的云资源调度关键技术研究与应用,山东省重点研发计划项目,2017.3-2019.12 云环境下SaaS优化放置与个性化定制研究,山东省自然科学基金面上项目,2015.5-2017.12 城市物流配送服务关键技术研发,国家科技支撑计划项目课题,2013.1-2014.12 医疗器械制造物联集成应用关键技术研发与示范,国家科技支撑计划项目课题,2014.1-2016.12 面向物流领域的网络化软件关键技术研发与应用,山东省科技支撑计划项目,2012.1-2013.12

研究领域

服务计算与云服务

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Fanchao Meng, Bo Cao, Dianhui Chu, Qingran Ji. Variable neighborhood search for quadratic multiple constraint variable sized bin-packing problem. Computers & Operations Research, 2022, 143: 105803. Fanchao Meng, Dianhui Chu, Keqiu Li, Xuequan Zhou. Multiple-class Multidimensional Knapsack Optimisation Problem and its approaches. Knowledge-Based Systems, 2019,166(2):1-17. Fanchao Meng, Qingran Ji, Hongzhen Zheng, Huihui Wang, Dianhui Chu. Modeling and solution algorithm for optimization integration of express terminal nodes with a joint distribution mode, Journal of Organization and End User Computing, 2021,33(4:):142-166. 孟凡超,初佃辉,李克秋,周学权.基于混合遗传模拟退火算法的SaaS构件优化放置方法.软件学报, 2016,27(4):916-932. 孟凡超, 周学权, 曹祖凤, 初佃辉.基于成本优化的多租户SaaS应用放置算法.计算机集成制造系统,2014.20(6):1508-1518. 孟凡超,张海州,初佃辉.基于蚁群优化算法的云计算资源负载均衡研究.华中科技大学学报(自然科学版), 2013,41(S2):57-62. 初佃辉, 孟凡超, 战德臣, 徐晓飞. 一种基于有限自动机的多层次构件行为匹配模型.软件学报, 2011, 22(11): 2668-2683. 张策, 孟凡超, 考永贵, 吕为工, 刘宏伟, 万锟, 蒋家楠, 崔刚, 刘子和. 软件可靠性增长模型研究综述. 软件学报, 2017,28(9):2402-2430. 王飞,孟凡超,郑宏珍. 基于禁忌搜索和遗传算法的云仓储分配优化.计算机集成制造系统,2022,28(1):210-218 张中一,孟凡超,初佃辉,钱斌. 一种QoS收益感知的服务请求动态调度算法.小型微型计算机系统, 2017,38(12):2791-2796. 主要会议论文 Fanchao Meng, Qingran Ji, Dianhui Chu, Modeling and Solution Algorithm of Virtual Machines Optimization Provision Problem for Application Deployment in Public Cloud, 2021 IEEE International Conference on Parallel & Distributed Processing with Applications(ISPA2021), 2021:1378-1385 Fanchao Meng, Shuo Zhang, Xuanchi Zheng, Sanxin Sun. Task Assignment Method in Spatial Crowdsourcing based on graph search. IEEE 17th International Conference on Smart City,2019, 2623-2629 Lei Wang, Fanchao Meng, Xiaochun Min, Dianhui Chu. A Multi-objective Task-Driven Vehicle Routing Problem with Recirculating Delivery and its Solution Approaches, International Conference on Artificial Intelligence and Big Data (ICAIBD2021), 2021: 687-694 Qingran Ji, Fanchao Meng, Hongzhen Zheng, Dianhui Chu. Optimization and Integration of Logistics Facilities Resources Based on Genetic-Simulated Annealing Hybrid Algorithm, International Conference on Artificial Intelligence and Big Data (ICAIBD2021), 2021:135-142 Xuanchi Zheng, Fanchao Meng, Dianhui Chu, QIngran Ji. Optimal Scheduling Scheme for Urban Crowdsourcing Distribution Task Based on Path Planning, International Conference on Service Science (ICSS 2020), 2020:115-122 Xiaochuan Fanchao Meng, Dianhui Chu. Modeling and solution algorithm for fourth-party logistics routing problem based on service composition. Journal of Physics: Conference Series, 1584(2020) 012030 Shanxin sun, Fanchao Meng, Dianhui Chu. A model driven approach to constructing knowledge graph from relational database from relational database. Journal of Physics: Conference Series, 1584(2020) 012073 Shuo Zhang, Fanchao Meng, Zhongyi Zhang. A cloud data center virtual machine placement scheme based on energy optimization. 2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery(CyberC2018), 2018:223-229 Gengzhe Yan, Fanchao Meng, Dianhui Chu. An Evaluation Methodology of Cloud Service Quality Based on Queuing Model. The 15th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2017), 2017: 925-930 Bin Qian, Fanchao Meng, Dianhui Chu, A Cost-Driven Multi-Objective Optimization Algorithm for SaaS Applications Placement, International Symposium on Cloud and Service Computing, 2015:1086-1091

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