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

Arumugam, M. Senthil (2008) New And Improved Versions Of Genetic And PSO Algorithms For A Class Of Hybrid Systems And Steel Annealing Process. PhD thesis, Multimedia University.

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Abstract

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.

Item Type: Thesis (PhD)
Subjects: T Technology > TS Manufactures
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 23 Sep 2010 08:51
Last Modified: 23 Sep 2010 08:51
URI: http://shdl.mmu.edu.my/id/eprint/1549

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