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All Journal Bulletin of Electrical Engineering and Informatics
May Mohammed Ali
Southern Technical University
Electrical & Electronics Engineering

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Using particle swarm optimization to solve test functions problems Issa Ahmed Abed; May Mohammed Ali; Afrah Abood Abdul Kadhim
Bulletin of Electrical Engineering and Informatics Vol 10, No 6: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i6.3244

Abstract

In this paper the benchmarking functions are used to evaluate and check the particle swarm optimization (PSO) algorithm. However, the functions utilized have two dimension but they selected with different difficulty and with different models. In order to prove capability of PSO, it is compared with genetic algorithm (GA). Hence, the two algorithms are compared in terms of objective functions and the standard deviation. Different runs have been taken to get convincing results and the parameters are chosen properly where the Matlab software is used. Where the suggested algorithm can solve different engineering problems with different dimension and outperform the others in term of accuracy and speed of convergence.
Co-Authors Afrah Abood Abdul Kadhim Issa Ahmed Abed