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http://hdl.handle.net/10553/54348
| Título: | Safety systems optimum design by multicriteria evolutionary algorithms | Autores/as: | Greiner, David Galván, Blas Winter, Gabriel |
Clasificación UNESCO: | 1206 Análisis numérico 120601 Construcción de algoritmos |
Palabras clave: | Fault-Tree Analysis Genetic Algorithms Optimization Models |
Fecha de publicación: | 2003 | Editor/a: | 0302-9743 | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 2nd International Conference on Evolutionary Multi-Criterion Optimization (EMO 2003) | Resumen: | In this work new safety systems multiobjective optimum design methodologies are introduced and compared. Various multicriteria evolutionary algorithms are analysed (SPEA2, NSGAII and controlled elitist-NSGAII) and applied to a Containment Spray Injection System of a nuclear power plant. Influence of various mutation rates is considered. A double minimization is handled: unavailability and cost of the system. The comparative statistical results of the test case show a convergence study during evolution by means of certain metrics that measure front coverage and distance to the optimal front. Results succeed in solving the problem. | URI: | http://hdl.handle.net/10553/54348 | ISBN: | 3-540-01869-7 | ISSN: | 0302-9743 | Fuente: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 2632, p. 722-736 |
| Colección: | Artículos |
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