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
Subjects:	TS Manufactures
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id	my-mmu-ep.1549
record_format	uketd_dc
spelling	my-mmu-ep.15492010-09-23T08:51:33Z New And Improved Versions Of Genetic And PSO Algorithms For A Class Of Hybrid Systems And Steel Annealing Process 2008-02 Arumugam, M. Senthil TS Manufactures 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. 2008-02 Thesis http://shdl.mmu.edu.my/1549/ http://myto.perpun.net.my/metoalogin/logina.php phd doctoral Multimedia University Research Library
institution	Multimedia University
collection	MMU Institutional Repository
topic	TS Manufactures
spellingShingle	TS Manufactures Arumugam, M. Senthil New And Improved Versions Of Genetic And PSO Algorithms For A Class Of Hybrid Systems And Steel Annealing Process
description	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.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Arumugam, M. Senthil
author_facet	Arumugam, M. Senthil
author_sort	Arumugam, M. Senthil
title	New And Improved Versions Of Genetic And PSO Algorithms For A Class Of Hybrid Systems And Steel Annealing Process
title_short	New And Improved Versions Of Genetic And PSO Algorithms For A Class Of Hybrid Systems And Steel Annealing Process
title_full	New And Improved Versions Of Genetic And PSO Algorithms For A Class Of Hybrid Systems And Steel Annealing Process
title_fullStr	New And Improved Versions Of Genetic And PSO Algorithms For A Class Of Hybrid Systems And Steel Annealing Process
title_full_unstemmed	New And Improved Versions Of Genetic And PSO Algorithms For A Class Of Hybrid Systems And Steel Annealing Process
title_sort	new and improved versions of genetic and pso algorithms for a class of hybrid systems and steel annealing process
granting_institution	Multimedia University
granting_department	Research Library
publishDate	2008
_version_	1747829398840541184

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

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