姓名：钱进
职称：副教授
专业：智能制造、优化和人工智能
所属二级学科：运筹与控制
研究方向：离散组合优化、智能计算优化算法、智能工业生产、库存、资源配送调度算法，强化学习、神经网络及深度学习
E-mail: [email protected]
个人简历：吉林大学—本科，吉林大学—硕士 |
，清华大学—博士
近年来的主要研究工作：
在国内外学术期刊上发表论文20余篇，其中以第一作者身份在《Annals of Operations Research》, 《Computers & Industrial Engineering》,《Applied Mathematics and Computation》,《Optimization Letters》, 《Journal of Applied Mathematics and Computing》,《MATCH Commun. Math. Comput. Chem.》《RAIRO-Oper. Res.》,《Computational and Applied Mathematics》等期刊发表论文。担任国际期刊审稿人：《International Journal of Production Research》，《Annals of Operations Research》，《The Computer Journal》，《Discrete Dynamics in Nature and Society》，《Engineering Optimization》，《Intelligent Automation & Soft Computing》，《International Transactions in Operational Research》，《Optimization Letters》，《Journal of Applied Mathematics and Computing》等。
近年来承担的主要项目：
主持中央高校基本科研业务费种启动项目；参与3项国家自然科学基金面上
近年来发表的代表性论文：
1. Tri-criteria single machine scheduling model with release times and learning factor. Applied Mathematics and Computation, 2020, 387, 124543.
2. Improved algorithms for proportionate flow shop scheduling with due-window assignment. Annals of Operations Research, 309, 249–258.
3. A note on study on proportionate flowshop scheduling with due-date assignment and position-dependent weights. Optimization Letters, 2022, 16, 2645–2648.
4. Single-machine common due-window assignment and scheduling with position-dependent weights, delivery time, learning effect and resource allocations, Journal of Applied Mathematics and Computing, 2024,70 (3) , 1965-1994.
5. Note on single machine common flow allowance group scheduling with learning effect and resource allocation. Computers & Industrial Engineering, 2023, 186, 109750.
