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.
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| Format: | Thesis |
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2008
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