Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/69736
| Title: | Multiple objective evolutionary optimisation for robust design | Authors: | Salazar A., Daniel E. Rocco S., Claudio M. Zio, Enrico |
UNESCO Clasification: | 120304 Inteligencia artificial | Issue Date: | 2006 | Journal: | Applied Artificial Intelligence | Conference: | Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006 | Abstract: | This paper proposes the use of Multiple Objective Evolutionary Algorithms (MOEA) for robust system design. A numerical example relative to the evaluation of the reliability of a Residual Heat Removal system of a Nuclear Power Plant illustrates the approach. | URI: | http://hdl.handle.net/10553/69736 | ISBN: | 978-981-256-690-4 | ISSN: | 0883-9514 | DOI: | 10.1142/9789812774118_0130 | Source: | Applied Artificial Intelligence [ISSN 0883-9514], p. 930-937, 2006 |
| Appears in Collections: | Actas de congresos |
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