A Discrete Brain Storm Optimization Algorithm for Hybrid Flowshop Scheduling Problems with Batch Production at Last Stage in the Steelmaking-Refining-Continuous Casting Process

The iron and steel industry is energy-intensive due to the large volume of steel produced and its high-temperature and high-weight characteristics, sensors such as high-temperature application sensors can be utilized to collect production data and support the process control and optimization. Steelm...

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Sensors
المؤلفون الرئيسيون:	Kunkun Peng, Chunjiang Zhang, Weiming Shen, Xinfu Pang, Yanlan Mei, Xudong Deng
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2024-11-01
الموضوعات:	steelmaking-refining-continuous casting iron and steel energy saving hybrid flowshop scheduling batch production brain storm optimization
الوصول للمادة أونلاين:	https://www.mdpi.com/1424-8220/24/22/7137