New And Improved Versions Of Genetic And PSO Algorithms For A Class Of Hybrid Systems And Steel Annealing Process

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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.

Bibliographic Details
Main Author:	Arumugam, M. Senthil
Format:	Thesis
Published:	2008
Subjects:	TS Manufactures
Online Access:	http://shdl.mmu.edu.my/1549/

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