کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
803538 | 904666 | 2006 | 14 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Optimization of constrained multiple-objective reliability problems using evolutionary algorithms Optimization of constrained multiple-objective reliability problems using evolutionary algorithms](/preview/png/803538.png)
This paper illustrates the use of multi-objective optimization to solve three types of reliability optimization problems: to find the optimal number of redundant components, find the reliability of components, and determine both their redundancy and reliability. In general, these problems have been formulated as single objective mixed-integer non-linear programming problems with one or several constraints and solved by using mathematical programming techniques or special heuristics. In this work, these problems are reformulated as multiple-objective problems (MOP) and then solved by using a second-generation Multiple-Objective Evolutionary Algorithm (MOEA) that allows handling constraints. The MOEA used in this paper (NSGA-II) demonstrates the ability to identify a set of optimal solutions (Pareto front), which provides the Decision Maker with a complete picture of the optimal solution space. Finally, the advantages of both MOP and MOEA approaches are illustrated by solving four redundancy problems taken from the literature.
Journal: Reliability Engineering & System Safety - Volume 91, Issue 9, September 2006, Pages 1057–1070