Bibliometric Study on the Use of Machine Learning as Resolution Technique for Facility Layout Problems-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Bibliometric Study on the Use of Machine Learning as Resolution Technique for Facility Layout Problems

Published:2021 Issue: Volume:9 Page:22569-22586
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Burggraf Peter^ORCID,Wagner Johannes^ORCID,Heinbach Benjamin^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09335587.pdf?arnumber=9335587

Cited by 21 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. Two-Level Approach for Simultaneous Component Assignment and Layout Optimization with Applications to Spacecraft Optimal Layout;Applied Sciences;2024-09-10

2. Optimization of the Factory Layout and Production Flow Using Production-Simulation-Based Reinforcement Learning;Machines;2024-06-05

3. gym-flp: A Python Package for Training Reinforcement Learning Algorithms on Facility Layout Problems;Operations Research Forum;2024-03-05

4. Multi agent reinforcement learning for online layout planning and scheduling in flexible assembly systems;Journal of Intelligent Manufacturing;2024-01-27

5. A Path Relinking-Based Approach for the Bi-Objective Double Floor Corridor Allocation Problem;Lecture Notes in Computer Science;2024

同舟云学术

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