Identificador persistente para citar o vincular este elemento: 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
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