Safety systems optimum design by multicriteria evolutionary algorithms

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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