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Optimal Control in Steel Annealing Processes by Ramana Murthy is a document available to read on EtoBox.
This paper discusses the optimal control of steel annealing processes using various optimization algorithms, including particle swarm optimization (PSO) and genetic algorithms (GA). It compares the performance of these algorithms in achieving optimal solutions for line speed, cost, and job completion time, highlighting the superiority of modified PSO methods over traditional approaches. The study emphasizes the trade-off between metallurgical quality and timely delivery in steel manufacturing, proposing a h
- Author
- Ramana Murthy
- Language
- EN