EMPLOY ANT COLONY ALGORITHM TO SOLVE RELIABILITY OPTIMIZATION PROBLEM FOR AN COMPLEX NETWORK

Authors

  • Ghazi Abdullah Department of Mathematics, College of Education for Pure Sciences, University of Babylon, Iraq.
  • Hatem Kareem Sulaiman Department of Mathematics, Directorate of Education Babylon, 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/FNMW8

Keywords:

Reliability allocation, Reliability optimization, the Ant colony algorithm.

Abstract

In this article, the reliability of a complex network has been calculated as a complex system using limited paths. The reliability of this system has been assigned to explore alternate ways assignment of reliability values on reducing the total expense of the process. Among the initial findings were:
(i) To quantify Comprehensive device costs, three cost functions were used: The paradigm of exponential behavior, the exponential behavior model and finally, there's the logarithm model.
(ii) Solving the challenges of maximizing the dynamic system's reliability, the reliability of each part of the system was determined using the ant colony optimization (ACO) algorithm.

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Published

2022-12-20

How to Cite

Ghazi Abdullah, Hatem Kareem Sulaiman, & Zahir Abdul Haddi Hassan. (2022). EMPLOY ANT COLONY ALGORITHM TO SOLVE RELIABILITY OPTIMIZATION PROBLEM FOR AN COMPLEX NETWORK. ResearchJet Journal of Analysis and Inventions, 3(12), 121–133. https://doi.org/10.17605/OSF.IO/FNMW8

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