Robotics & Machine Learning Daily News2024,Issue(Mar.13) :71-71.

Researchers from China University of Geosciences Describe Findings in Intelligen t Systems (Intelligent Learning-based Cooperative and Competitive Multi-objectiv e Optimization for Energy-aware Distributed Heterogeneous Welding Shop Scheduling)

Robotics & Machine Learning Daily News2024,Issue(Mar.13) :71-71.

Researchers from China University of Geosciences Describe Findings in Intelligen t Systems (Intelligent Learning-based Cooperative and Competitive Multi-objectiv e Optimization for Energy-aware Distributed Heterogeneous Welding Shop Scheduling)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Intelligent Systems have been published. According to news reporting out o f Wuhan, People’s Republic of China, by NewsRx editors, research stated, “This r esearch is focused on addressing the energy-aware distributed heterogeneous weld ing shop scheduling (EADHWS) problem. Our primary objectives are to minimize the maximum finish time and total energy consumption.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of China (NSFC).

Key words

Wuhan/People’s Republic of China/Asia/Intelligent Systems/Machine Learning/China University of Geosciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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