首页|Investigators at Zhongnan University of Economics & Law Detail Findings in Intelligent Systems (Automatic Algorithm Design of Distributed Hybrid Flowshop Scheduling With Consistent Sublots)
Investigators at Zhongnan University of Economics & Law Detail Findings in Intelligent Systems (Automatic Algorithm Design of Distributed Hybrid Flowshop Scheduling With Consistent Sublots)
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Springer Nature
Research findings on Machine Learning - Intelligent Systems are discussed in a new report. According to news originating from Wuhan, People's Republic of China, by NewsRx correspondents, research stated, “The present-day globalized economy and diverse market demands have compelled an increasing number of manufacturing enterprises to move toward the distributed manufacturing pattern and the model of multi-variety and small-lot. Taking these two factors into account, this study investigates an extension of the distributed hybrid flowshop scheduling problem (DHFSP), called the distributed hybrid flowshop scheduling problem with consistent sublots (DHFSP_CS).” Funders for this research include Natural Science Foundation of Shandong Province, National Natural Science Foundation of China (NSFC), Natural Science Foundation of Shandong Province, Guangyue Young Scholar Innova-tion Team of Liaocheng University.
WuhanPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningAlgorithmsZhongnan University of Economics & Law
NETL
NSTL
Springer Nature
