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Research Article | Open Access |

Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms

Author 1: Mohammed Adam Kunna Azrag Author 2: Tuty Asmawaty Abdul Kadir
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 8 · Published 2019

DOI: https://doi.org/10.14569/IJACSA.2019.0100862

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Abstract

In this paper, the performance of segment particle swarm optimization (Se-PSO) algorithm was compared with that of original particle swarm optimization (PSO) algorithm. Four different benchmark functions of Sphere, Rosenbrock, Rastrigin, and Griewank with asymmetric initial range settings (upper and lower boundaries values) were selected as the test functions. The experimental results showed that, the Se-PSO algorithm achieved better results in terms of faster convergences in all the testing cases compared to the original PSO algorithm. However, the experimental results further showed the Se-PSO as a promising optimization algorithm method in some other different fields.

Keywords

Se-PSO PSO sphere Rosenbrock Rastrigin Griewank

How to Cite this Article

Azrag, M. A. K., & Kadir, T. A. A. (2019). Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms. International Journal of Advanced Computer Science and Applications, 10(8). https://doi.org/10.14569/IJACSA.2019.0100862

Azrag, Mohammed Adam Kunna, and Tuty Asmawaty Abdul Kadir. "Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms." International Journal of Advanced Computer Science and Applications, vol. 10, no. 8, 2019, https://doi.org/10.14569/IJACSA.2019.0100862.

@article{Azrag2019,
  title     = {Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {8},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Mohammed Adam Kunna Azrag and Tuty Asmawaty Abdul Kadir},
  doi       = {10.14569/IJACSA.2019.0100862},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100862}
}

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