COMPARATIVE STUDY BETWEEN GA AND PSO TO EVALUATE THE RELIABILITY OPTIMIZATION PROBLEM OF AN COMPLEX NETWORK

Authors

  • Hatem Kareem Sulaiman Department of Mathematics, Directorate of Education Babylon, Babylon Iraq.
  • Ghazi Abdullah Department of Mathematics, College of Education for Pure Sciences, University of Babylon, Iraq.
  • Fouad Hamza Abd Alsharify Department of Physics, College of Science, University of Babylon, Iraq.
  • Zahir Abdul Haddi Hassan Department of Mathematics, College of Education for Pure Sciences, University of Babylon Iraq

DOI:

https://doi.org/10.17605/OSF.IO/NV85J

Keywords:

Particle swarm optimization, Reliability allocation, Genetic algorithm, Reliability optimization, Evolutionary algorithm,.

Abstract

In this study, each complex network component's allocation and optimization of reliability were calculated. The allocation problem should be solved, system dependability should be increased, and the system's overall cost should be calculated using techniques (such the genetic algorithm and particle swarm optimization). The three cost functions—the exponential behavior model with a feasibility factor, the exponential behavior model with logarithmic behavior—that were previously explained are also used. The significance of each system component's reliability was computed after the assignment problem was solved. This article's goal was to evaluate the outcomes of PSO and GA in terms of assigning and maximizing reliability, overall cost, precise reliability, relevance of reliability, and which is more efficient.

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Published

2022-12-03

How to Cite

Hatem Kareem Sulaiman, Ghazi Abdullah, Fouad Hamza Abd Alsharify, & Zahir Abdul Haddi Hassan. (2022). COMPARATIVE STUDY BETWEEN GA AND PSO TO EVALUATE THE RELIABILITY OPTIMIZATION PROBLEM OF AN COMPLEX NETWORK. ResearchJet Journal of Analysis and Inventions, 3(11), 166–178. https://doi.org/10.17605/OSF.IO/NV85J

Issue

Vol. 3 No. 11 (2022): rjai

Section

Articles