Multiple dispatching rules allocation in real time using data mining, genetic algorithms, and simulation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Management Science and Operations Research,General Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10951-020-00664-5.pdf
Reference51 articles.
1. Baykasoğlu, A., Göçken, M., Özbakır, L., & Kulluk, S. (2008). Composite dispatching rule generation through data mining in a simulated job shop. Modelling, computation and optimization in information systems and management sciences (pp. 389–398). New York: Springer.
2. Beasley, J. E. (1990). Or-library: Distributing test problems by electronic mail. The Journal of the Operational Research Society, 41(11), 1069.
3. Bülbül, K., & Kaminsky, P. (2013). A linear programming-based method for job shop scheduling. Journal of Scheduling, 16(2), 161–183.
4. Çaliş, B., & Bulkan, S. (2015). A research survey: Review of ai solution strategies of job shop scheduling problem. Journal of Intelligent Manufacturing, 26(5), 961–973.
5. Cao, Y., & Shi, H. (2015). A hybrid ant colony optimisation algorithm for job shop problems and its convergence analysis. International Journal of Modelling, Identification and Control, 23(3), 230–237.
Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A K-means-Teaching Learning based optimization algorithm for parallel machine scheduling problem;Applied Soft Computing;2024-08
2. Evolving Dispatching Rules in Improved BWO Heuristic Algorithm for Job-Shop Scheduling;Electronics;2024-07-04
3. Simulation optimization applied to production scheduling in the era of industry 4.0: A review and future roadmap;Journal of Industrial Information Integration;2024-05
4. A self-learning framework combining association rules and mathematical models to solve production scheduling programs;Production & Manufacturing Research;2024-03-25
5. Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling;IEEE Transactions on Evolutionary Computation;2024-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3