Multiobjective optimization of the inspection intervals of a nuclear safety system: A clustering-based framework for reducing the Pareto Front
In: Annals of Nuclear Energy, Jg. 37 (2010-06-01), Heft 6, S. 798-812
academicJournal
Zugriff:
Abstract: In this paper, a framework is developed for identifying a limited number of representative solutions of a multiobjective optimization problem concerning the inspection intervals of the components of a safety system of a nuclear power plant. Pareto Front solutions are first clustered into “families”, which are then synthetically represented by a “head of the family” solution. Three clustering methods are analyzed. Level Diagrams are then used to represent, analyse and interpret the Pareto Fronts reduced to their head-of-the-family solutions. Two decision situations are considered: without or with decision maker preferences, the latter implying the introduction of a scoring system to rank the solutions with respect to the different objectives: a fuzzy preference assignment is then employed to this purpose. The results of the application of the framework of analysis to the problem of optimizing the inspection intervals of a nuclear power plant safety system show that the clustering-based reduction maintains the Pareto Front shape and relevant characteristics, while making it easier for the decision maker to select the final solution. [Copyright &y& Elsevier]
Titel: |
Multiobjective optimization of the inspection intervals of a nuclear safety system: A clustering-based framework for reducing the Pareto Front
|
---|---|
Autor/in / Beteiligte Person: | Zio, E. ; Bazzo, R. |
Link: | |
Zeitschrift: | Annals of Nuclear Energy, Jg. 37 (2010-06-01), Heft 6, S. 798-812 |
Veröffentlichung: | 2010 |
Medientyp: | academicJournal |
ISSN: | 0306-4549 (print) |
DOI: | 10.1016/j.anucene.2010.02.020 |
Schlagwort: |
|
Sonstiges: |
|