首页|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)
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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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).
WuhanPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningChina University of Geosciences
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