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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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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creator Yuncan Xue
Hongbin Du
Wei Jian
description 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.
doi_str_mv 10.1109/ICSMC.2004.1401217
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ispartof 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2004, Vol.5, p.4360-4364 vol.5
issn 1062-922X
2577-1655
language eng
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source IEEE Electronic Library (IEL) Conference Proceedings
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
title Optimum steelmaking charge plan using artificial fish swarm optimization algorithm
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