Article ID: | iaor20013227 |
Country: | United States |
Volume: | 37 |
Issue: | 1/2 |
Start Page Number: | 151 |
End Page Number: | 155 |
Publication Date: | Oct 1999 |
Journal: | Computers & Industrial Engineering |
Authors: | Gen M., Kim J.R. |
Keywords: | genetic algorithms |
As systems have grown more complex, the consequences of their unreliable behavior have become severe in terms of cost, lives, etc., and the interest in assessing system reliability and the need for improving the reliability of products and systems have become very important. In the past few decades, the field of reliability has grown sufficiently large to include separate specialized subtopics, such as reliability analysis, failure modeling, reliability optimization, reliability growth and its modeling, reliability testing, reliability data analysis, accelerated testing, and life cycle costing. In this paper, we introduce about some GA-based approaches for these reliability design problems, such as GA-based reliability design of redundant system, GA-based reliability design with alternative design, GA-based reliability design with time-dependent reliability, GA-based reliability design with interval coefficients, GA-based bicriteria reliability design, Hybrid GA-based bicriteria reliability design, and GA-based reliability design with fuzzy goals.