Development of hybrid evolutionary algorithms for production scheduling of hot strip mill

DOI10.1016/j.cor.2011.04.009zbMath1251.90016OpenAlexW2015246405MaRDI QIDQ1761983

Yong-Zai Lu, Gen-Ke Yang, Chang-Chun Pan, Yu-Wang Chen, Ming Ge

Publication date: 15 November 2012

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://www.research.manchester.ac.uk/portal/en/publications/development-of-hybrid-evolutionary-algorithms-for-production-scheduling-of-hot-strip-mill(2e139e1a-736f-40d6-89f3-047243f8b1c7).html

zbMATH Keywords

production schedulinggenetic algorithmhybrid evolutionary algorithmhot strip millextremal optimization

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Computational methods for problems pertaining to operations research and mathematical programming (90-08)

Related Items (1)

Modeling and application for rolling scheduling problem based on TSP

Uses Software

• Genocop

Cites Work

• Unnamed Item
• Scheduling in a continuous galvanizing line
• Rolling horizon scheduling in a rolling-mill
• Modeling rolling batch planning as vehicle routing problem with time windows.
• Nature's way of optimizing
• A multiple traveling salesman problem model for hot rolling scheduling in Shanghai Baoshan Iron \& Steel Complex
• The hot strip mill production scheduling problem: A tabu search approach
• Generalized extremal optimization: an application in heat pipe design
• Machine scheduling with earliness, tardiness and non-execution penalties
• Production scheduling optimization algorithm for the hot rolling processes
• The prize collecting traveling salesman problem
• Steel production schedule generation
• A review of planning and scheduling systems and methods for integrated steel production

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