DocumentCode :
3472756
Title :
Multiple objective system reliability post-Pareto optimality using self organizing trees
Author :
Aguirre, O. ; Taboada, H. ; Coit, D. ; Wattanapongsakorn, Naruemon
Author_Institution :
Univ. of Texas at El Paso, El Paso, TX, USA
fYear :
2011
fDate :
14-17 Sept. 2011
Firstpage :
225
Lastpage :
229
Abstract :
Multiple objective system reliability optimization problems have been become more popular in engineering and have been deeply covered in literature. There are different approaches to address multiple objective optimization problems depending of the area and special characteristics of the problem. Most of the methods developed to solve these types of problems consist in a Pareto set of optimal solutions. At this point the decision-maker has to select one solution among the Pareto set. This task is not trivial due to the large size of the set to choose for. This work presents a new method based on self-organizing trees for reducing the size of Pareto-optimal sets. The method is tested in several Pareto sets from different multiple objective system reliability optimization problems including a network reliability design problem.
Keywords :
Pareto optimisation; decision making; reliability theory; trees (mathematics); decision making; multiple objective optimization; multiple objective system reliability; post Pareto optimal sets; self organizing trees; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Optimization; Partitioning algorithms; Telecommunication network reliability; Multiple objective optimization; Pareto-optimal set; System reliability optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality and Reliability (ICQR), 2011 IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4577-0626-4
Type :
conf
DOI :
10.1109/ICQR.2011.6031714
Filename :
6031714
Link To Document :
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