罗开平 - 北京航空航天大学

个人简介

北京航空航天大学管理科学与工程系副教授，博士生导师。长期从事最优化理论、多属性决策及其在太空任务管理、商务和金融大数据分析等领域的应用研究，先后主持多项国家自然科学基金项目，以独立作者或第一作者在《IEEE Transactions on Cybernetics》、《European Journal of Operational Research》、《Computers & Operations Research》、《International Journal of Production Research》、《Information Sciences》、《Applied Soft Computing》、《Systems Engineering》、《Engineering Optimization》、《Computers & Industrial Engineering》、《系统工程理论与实践》等国内外知名期刊上发表研究成果，为本硕博各个层次的学生授课，主讲“运筹学”、“运筹与决策”、“经济管理”、“生产运作管理”、“系统建模与评价”、“智能优化算法”、“高级优化理论与算法”等课程。

研究领域

长期从事最优化理论、多属性决策及其在太空任务管理、商务和金融大数据分析等领域的应用研究

近期论文

查看导师最新文章（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）

Kaiping Luo,Guangya Shen,Liheng Li.0-1 mathematical programming models for flexible process planning:European Journal of Operational Research,2023,308(3):1160-1175 Kaiping Luo,LiuWei Guo.Network-based integer programming models for flexible process planning:International Journal of Production Research,2022:1-16 Kaiping Luo.Water Flow Optimizer: A Nature-Inspired Evolutionary Algorithm for Global Optimization:IEEE Transactions on Cybernetics,2022,52(8):7753-7764 Kaiping Luo.A sequence learning harmony search algorithm for the flexible process planning problem:International Journal of Production Research,2022,60(10):3182–3200 Meng Liu,Kaiping Luo,Junhuan Zhang,Shengli Chen.A stock selection algorithm hybridizing grey wolf optimizer and support vector regression:Expert Systems With Applications,2021,179:1-12 Yuanrui Li,Qiuhong Zhao,Kaiping Luo.Multi-objective soft subspace clustering in the composite kernel space:Information Sciences,2021,563:23-39 Guangya Sheng,Kaiping Luo,Liheng Li.A multi-plant production planning model considering non- repeated setup and aperiodic shipment:Journal of Manufacturing Systems,2020,57:451-459 Kaiping Luo.A hybrid binary artificial bee colony algorithm for the satellite photograph scheduling:Engineering Optimization,2020,52(8):1421-1440. Kaiping Luo.A binary grey wolf optimizer for the multidimensional knapsack problem:Applied Soft Computing,2019,84 Kaiping Luo.Enhanced grey wolf optimizer with a model for dynamically estimating the location of the prey:Applied Soft Computing,2019,77:225-235. Kaiping Luo,Jie Ma,Qiuhong Zhao.Enhanced self-adaptive global-best harmony search without any extra statistic and external archive:Information Sciences,2019,482:228 - 247. Kaiping Luo,Haihong Wang,Yijun Li,Qiang Li.High-performance technique for satellite range scheduling:Computers & Operations Research,2017,85:12-21. Kaiping Luo,Xinhui Zhang.A simple proof technique for scheduling models with learning effects:Optimization Letters,2015,9(7):1411-1420. Kaiping Luo.A scheduling model with a more general function of learning effects:Computers & Industrial Engineering,2015,82:159-166. Kaiping Luo.Space-Based Infrared Sensor Scheduling with High Uncertainty: Issues and Challenges:Systems Engineering,2015,18(1):102-133.