Open AccessUsing of particle swarm optimization (PSO) to addressed reliability allocation of complex network
Author(s) -
Ghazi Abdullah,
Zahir Abdul Haddi Hassan
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1664/1/012125
Subject(s) - particle swarm optimization , reliability (semiconductor) , logarithm , exponential function , mathematical optimization , computer science , component (thermodynamics) , complex system , measure (data warehouse) , reliability engineering , mathematics , engineering , artificial intelligence , data mining , physics , mathematical analysis , power (physics) , quantum mechanics , thermodynamics
This paper focuses on the reliability of complex system that has been measured as a complex system using minimal paths. The reliability of this system has been assigned to research the possible approaches of the assignment reliability values based on reducing the total cost of this method. The results originally included: (i) Three cost functions were used to measure the cost of the complex system: First, the exponential behavior model with the feasibility factor model. Second, the exponential behavior model. Third, the logarithm model. (ii) The reliability of every component of the system was calculated using Particle Swarm algorithm to solve the problems of optimizing the given reliability of the complex system.