Using of Genetic Algorithm to Evaluate Reliability Allocation and Optimization of Complex Network-Reference-Cited by-同舟云学术

Using of Genetic Algorithm to Evaluate Reliability Allocation and Optimization of Complex Network

Published:2020-11-01 Issue:4 Volume:928 Page:042033
ISSN:1757-8981
Container-title:IOP Conference Series: Materials Science and Engineering
language:
Short-container-title:IOP Conf. Ser.: Mater. Sci. Eng.

Author:

Abdullah Ghazi,Haddi Hassan Zahir Abdul

Abstract

Abstract In this paper the allocation of reliability and optimization has been calculated for each component of the complex system. Use (genetic algorithm) to solve the problem of allocation and to optimize system reliability. Also discussed are the three expense functions (exponential behavior with feasibility factor model, exponential behavior model and logarithmic model). The reliability importance of each component of the system was calculated after solving the allocation problem. The aim of this paper was to compare the results of the three cost functions by using GA in terms of reliability allocation and optimization, accurate reliability, reliability importance, and then whatever is more efficient than another.

Publisher

IOP Publishing

Subject

General Medicine

Link

https://iopscience.iop.org/article/10.1088/1757-899X/928/4/042033/pdf

Reference17 articles.

1. Reliability Allocation and Optimization for ROSS of a Spacecraft by using Genetic Algorithm;Abed;J. of Physics: Conference Series,2019

2. A line search trust-region algorithm with nonmonotone adaptive radius for a system of nonlinear equations;Amini;4OR,2016

3. Inclusion-exclusion and network reliability;Dohmen;The Electronic Journal of Combinatorics, Research Paper R36, 5, 1,1998

4. Using of Generalized Bayes’ Theorem to Evaluate the Reliability of Aircraft Systems;Hassan;J. of Engineering and Applied Sciences,2018

5. Geometry of reliability models of electrical system used inside spacecraft;Hassan,2017

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MSHHOTSA: A variant of tunicate swarm algorithm combining multi-strategy mechanism and hybrid Harris optimization;PLOS ONE;2023-08-11

2. A new technique to solve the maximization of the transportation problems;INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING ICCMSE 2021;2023

3. Using a new method named matrix method to find the optimal solution to transportation problems;INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING ICCMSE 2021;2023

4. Using a new method named matrix method to find the optimal solution to transportation problems;INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING ICCMSE 2021;2023

5. Computational models for allocation and optimization of reliability for ROSS network;AIP Conference Proceedings;2023