Particle Swarm Optimization; Studies from Multimedia University reveal new findings on particle swarm optimization

Citation

Umapathy, P. (2011) Particle Swarm Optimization; Studies from Multimedia University reveal new findings on particle swarm optimization. Technology & Business Journal. p. 1802.

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Abstract

The objective of the proposed method is to find the steady-state operating point which minimizes the fuel cost, while maintaining an acceptable system performance in terms of limits on generator power, line flow, and voltage, scientists writing in the journal Discrete Dynamics in Nature and Society report.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 13 Sep 2013 01:55
Last Modified: 13 Sep 2013 01:55
URII: http://shdl.mmu.edu.my/id/eprint/4015

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