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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Bibliographic Details
Main Author: Arumugam, M. Senthil
Format: Thesis
Published: 2008
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