The influence of iteration number in PSO application for research reactor TRIGA PUSPATI

The influence of iteration number in PSO application for research reactor TRIGA PUSPATI

Global best position is one of the components in Particle Swarm Optimization to determine the ultimate result among the best solutions with the smallest error. This paper describes how the iteration affected the global best value and performs different output of the research reactor TRIGA PUSPATI. T...

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Bibliographic Details
Main Authors: Abdullah, Nor Arymaswati, Che Soh, Azura, Abdul Rahman, Ribhan Zafira, Mohd Noor, Samsul Bahari, Abdul Karim, Julia
Format: Conference or Workshop Item
Language:English
Published: 2017
Online Access:http://psasir.upm.edu.my/id/eprint/64396/1/ENG%20Poster%20111117%203.pdf

Internet

http://psasir.upm.edu.my/id/eprint/64396/1/ENG%20Poster%20111117%203.pdf

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