On the performance of the particle swarm optimization algorithm with various inertia weight variants for computing optimal control of a class of hybrid systems

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On the performance of the particle swarm optimization algorithm with various inertia weight variants for computing optimal control of a class of hybrid systems

This paper presents an alternative and efficient method for solving the optimal control of single-stage hybrid manufacturing systems which are composed with two different categories: continuous dynamics and discrete dynamics. Three different inertia weights, a constant inertia weight ( CIW), time-va...

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Bibliographic Details
Main Authors:	Arumugam, M. Senthil, Rao, M. V. C.
Format:	Article
Language:	English
Published:	2006
Subjects:	Q Science (General)
Online Access:	http://shdl.mmu.edu.my/2039/ http://shdl.mmu.edu.my/2039/1/1383.pdf

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