Machine Reliability Optimization by Genetic Algorithm Approach

Authors

  • Ngnassi Djami Aslain Brisco

  • Nzie Wolfgang

  • Doka Yamigno Serge

Keywords:

reliability, cost, reliability network, topology

Abstract

To define the reliability network of a system machine we start with a set of components arranged in an appropriate topology series parallel or parallel-series choose the best terms of the ratio performance cost and gather by links with the aim to combine them This process requires a long time and effort given the very large number of possible combinations which becomes tedious for the analyst For this reason it is essential to use an appropriate optimization approach when designing any product However before trying to optimize it is necessary to have a reliability assessment method The objective of this paper is to display a meta-heuristic method which is sustained on the genetic algorithm GA to improve the machines reliability To achieve this objective a methodology that consists of presenting the functionalities of genetic algorithms is developed The result achieved is the proposal of a reliability network for the optimal solution

How to Cite

Ngnassi Djami Aslain Brisco, Nzie Wolfgang, & Doka Yamigno Serge. (2020). Machine Reliability Optimization by Genetic Algorithm Approach. Global Journals of Research in Engineering, 20(A2), 35–40. Retrieved from https://engineeringresearch.org/index.php/GJRE/article/view/2060

Machine Reliability Optimization by Genetic Algorithm Approach

Published

2020-05-15