Robotics & Machine Learning Daily News2024,Issue(Jan.26) :76-77.

Findings from Ministry of Education Provides New Data about Machine Learning (Energy-efficient Buffer and Service Rate Allocation In Manufacturing Systems Using Hybrid Machine Learning and Evolutionary Algorithms)

Robotics & Machine Learning Daily News2024,Issue(Jan.26) :76-77.

Findings from Ministry of Education Provides New Data about Machine Learning (Energy-efficient Buffer and Service Rate Allocation In Manufacturing Systems Using Hybrid Machine Learning and Evolutionary Algorithms)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Machine Learning. According to news reporting originatingfrom Changsha, People’s Republic of China, by NewsRx correspondents, research stated, “Currently, simultaneousbuffer and service rate allocation is a topic of interest in the optimization of manufacturingsystems. Simultaneous allocation problems have been solved previously to satisfy economic requirements;however, owing to the progress of green manufacturing, energy conservation and environmental protectionhave become increasingly crucial.”

Key words

Changsha/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Evolutionary Algorithm/Machine Learning/Mathematics/Ministry of Education

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文