陆效农 - 合肥工业大学

个人简介

陆效农，男，博士，硕士生导师 2006-2010年中国科学技术大学自动化系，获学士学位 2010-2015年中国科学技术大学自动化系，获博士学位教育背景 2010.09-2015.06 博士中国科学技术大学自动化系硕博连读先进控制与感知实验室控制理论与控制工程、网络传播与控制 2006.09-2010.06 学士中国科学技术大学自动化系科研项目 1. 国家自然科学基金青年项目，71901086，云制造环境下面向个性需求的层次化制造服务动态选择与组合优化研究，2020.01-2022.12，20，主持. 2. 安徽省自然科学基金青年项目，1808085QG220，智能制造模式下层次化制造单元系统的集成机制与协同优化研究，2018.07-2020.06，10，主持. 教学研究讲授课程：物联网技术物流系统建模与仿真采购与供应管理

研究领域

离散事件动态系统建模分析、随机学习与优化、云制造服务建模与组合优化

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）

第一作者/通讯作者论文： [1] Lu Xiaonong, Peng Z, Zhang Q, et al. Event-based optimization approach for solving stochastic decision problems with probabilistic constraint [J]. Optimization Letters, 2021, 15: 569–590. [2] Lu Xiaonong, Zhang Q, Peng Z, et al. Charging and Relocating Optimization for Electric Vehicle Car-Sharing: An Event-Based Strategy Improvement Approach [J]. Energy, 2020, 207(15): 118285. [3] Hao S, Xiaonong Lu*, Xu Zhang, et al. A HRGO approach for resilience enhancement service composition and optimal selection in cloud manufacturing, Mathematical Biosciences and Engineering, 2020, 17(6): 6838-6872. [4] Zhang Q, Lu Xiaonong*, Peng Z, et al. Perspective: A review of lifecycle management research on complex products in smart-connected environments[J]. International Journal of Production Research, 2019, 57(21): 6758-6779. [5] Lu Xiaonong, Yin B, Zhang X, et al. Event-based optimization for admission control in distributed service system[J]. Telecommunication Systems, 2016, 62(3): 553-567. [6] Lu Xiaonong, Yin B, Zhang H. A reinforcement-learning approach for admission control in distributed network service systems[J]. Journal of Combinatorial Optimization, 2016, 31(3): 1241-1268. [7] Yin B, Lu Xiaonong*, Huang J, et al. Analysis of topology dynamics for unstructured P2P networks[J]. Computer Communications, 2016, 80: 72-81. 非第一作者/通讯作者论文： [1] Wang A, Zhang Q, Zhao S, Lu Xiaonong, et al. A review-driven customer preference measurement model for product improvement: sentiment-based importance–performance analysis, Information Systems and e-Business Management, 2020, DOI: 10.1007/s10257-020-00463-7. [2] Zhao S, Zhang Q, Peng Z, Lu Xiaonong. Personalized manufacturing service composition recommendation: combining combinatorial optimization and collaborative filtering. Journal of Combinatorial Optimization, 2020 40, 733–756. [3] Zhang Q, Peng Z, Lu Xiaonong, et al. An adaptive agent-based process model for optimizing innovative design. Optimizaion Letters, 2019, DOI: 10.1007/s11590-019-01420-1. [4] Cao J, Yin B, Lu Xiaonong, et al. A modified artificial bee colony approach for the 0-1 knapsack problem[J]. Applied Intelligence, 2018, 48(6): 1582-1595. [5] Yin B, Cao J, Kang Y, Lu Xiaonong, et al. A novel POMDP-based server RAM caching algorithm for VoD systems[J]. Multimedia Tools and Applications, 2018, 77(10): 13023-13045.