Optimum steelmaking charge plan using artificial fish swarm optimization algorithm

An optimum furnace charge plan model for steelmaking continuous casting planning and scheduling is presented. An artificial fish swarm optimization (AFSO) algorithm is used to solve the optimum charge plan problem. The computation with practical data shows that the model and the solving method are v...

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Bibliographic Details
Main Authors: Yuncan Xue, Hongbin Du, Wei Jian
Format: Conference Proceeding
Language:English
Subjects:
Applied sciences
Capacity planning
Casting
Computer science
control theory
systems
Contracts
Control theory. Systems
Exact sciences and technology
Furnaces
Job shop scheduling
Marine animals
Mathematical model
Particle swarm optimization
Scheduling algorithm
Steel
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Summary:An optimum furnace charge plan model for steelmaking continuous casting planning and scheduling is presented. An artificial fish swarm optimization (AFSO) algorithm is used to solve the optimum charge plan problem. The computation with practical data shows that the model and the solving method are very effective.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2004.1401217