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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主要作者: Arumugam, M. Senthil
格式: Thesis
出版: 2008
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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