Reinforcement-learning-based parallel genetic algorithm for the multi-objective hot-rolling scheduling problem of wide-thick slab

Hot rolling is the core process of steel production, and its scheduling problem is the key to determining the rolling rhythm. Compared with traditional hot-rolling scheduling, hot-rolling scheduling optimisation of wide-thick slabs needs to consider the characteristics of cross rolling and the influ...

Celý popis

Podrobná bibliografie

Vydáno v:	Applied soft computing Ročník 179; s. 113355
Hlavní autoři:	Zhang, Zhuolun, Wang, Bailin, Yuan, Shuaipeng, Li, Yiren, Wang, Xiqing, Li, Tieke
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.07.2025
Témata:	Hot rolling scheduling Island model Multi-objective asymmetric vehicle routing model Parallel genetic algorithm Q-learning Multi-objective asymmetric vehicle routing model Parallel genetic algorithm Q-learning Island model Hot rolling scheduling
ISSN:	1568-4946
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!