Genetic algorithm based multi‐objective reliability optimization in interval environment

Genetic algorithm based multi‐objective reliability optimization in interval environment

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Article ID: iaor20121188
Volume: 62
Issue: 1
Start Page Number: 152
End Page Number: 160
Publication Date: Feb 2012
Journal: Computers & Industrial Engineering
Authors: , ,
Keywords: quality & reliability, programming: multiple criteria, heuristics: genetic algorithms
Abstract:

In most of the real world design or decision making problems involving reliability optimization, there are simultaneous optimization of multiple objectives such as the maximization of system reliability and the minimization of system cost, weight and volume. In this paper, our goal is to solve the constrained multi‐objective reliability optimization problem of a system with interval valued reliability of each component by maximizing the system reliability and minimizing the system cost under several constraints. For this purpose, four different multi‐objective optimization problems have been formulated with the help of interval mathematics and our newly proposed order relations of interval valued numbers. Then these optimization problems have been solved by advanced genetic algorithm and the concept of Pareto optimality. Finally, to illustrate and also to compare the results, a numerical example has been solved.

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