Robotics & Machine Learning Daily News2024,Issue(Dec.6) :34-34.

Studies from University of Samarra Have Provided New Data on Machine Learning (E nhancing Hybrid Flow Shop Scheduling Problem with a Hybrid Metaheuristic and Mac hine Learning Approach for Dynamic Parameter Tuning)

萨马拉大学的研究为机器学习提供了新的数据(E nhancing Hybrid flowshop Scheduling Problem with a Hybrid metaentified and Mac Hine Learning方法用于动态参数调整)

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :34-34.

Studies from University of Samarra Have Provided New Data on Machine Learning (E nhancing Hybrid Flow Shop Scheduling Problem with a Hybrid Metaheuristic and Mac hine Learning Approach for Dynamic Parameter Tuning)

萨马拉大学的研究为机器学习提供了新的数据(E nhancing Hybrid flowshop Scheduling Problem with a Hybrid metaentified and Mac Hine Learning方法用于动态参数调整)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于人工智能的新报告。根据消息来源NewsRx编辑来自萨马RRA大学的研究称,“这篇论文讨论了混合整合元启发式(MHs)和机器学习(ML)的Flo w车间调度问题(HFSSP)接近。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on ar tificial intelligence. According to news originatingfrom the University of Sama rra by NewsRx editors, the research stated, “This paper addresses the HybridFlo w Shop Scheduling Problem (HFSSP) by integrating metaheuristic (MHs) and machine learning (ML)approaches.”

Key words

University of Samarra/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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