An effective co-evolutionary artificial bee colony algorithm for steelmaking-continuous casting scheduling

DOI10.1016/j.ejor.2015.10.007zbMath1346.90379OpenAlexW1758381552MaRDI QIDQ322540

Quan-ke Pan

Publication date: 7 October 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2015.10.007

zbMATH Keywords

schedulingparallel machine schedulingartificial bee colonyhybrid flowshopcooperative co-evolution

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Case-oriented studies in operations research (90B90)

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Uses Software

• Genocop

Cites Work

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• Unnamed Item
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• Scheduling a hybrid flowshop with batch production at the last stage
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• A mathematical programming model for scheduling steelmaking-continuous casting production
• A comparative study of artificial bee colony algorithm
• A genetic algorithm for hybrid flowshops with sequence dependent setup times and machine eligibility
• Integrated Charge Batching and Casting Width Selection at Baosteel
• A scheduling system for the steelmaking-continuous casting process. A case study from the steel-making industry
• Steel-making process scheduling using Lagrangian relaxation
• Auction-based approach to resolve the scheduling problem in the steel making process
• Scheduling
• A review of planning and scheduling systems and methods for integrated steel production

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