New And Improved Versions Of Genetic And PSO Algorithms For A Class Of Hybrid Systems And Steel Annealing Process
This thesis investigates the optimal control of a class of single stage and two-stage hybrid manufacturing systems with a real time application of Steel Annealing Processes(SAP) via various versions of real coded genetic and particle swarm optimization (PSO) algorithms.
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
2008
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!