Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/54348
Title: Safety systems optimum design by multicriteria evolutionary algorithms
Authors: Greiner, David 
Galván, Blas
Winter, Gabriel 
UNESCO Clasification: 1206 Análisis numérico
120601 Construcción de algoritmos
Keywords: Fault-Tree Analysis
Genetic Algorithms
Optimization
Models
Issue Date: 2003
Publisher: 0302-9743
Journal: Lecture Notes in Computer Science 
Conference: 2nd International Conference on Evolutionary Multi-Criterion Optimization (EMO 2003) 
Abstract: 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
Source: 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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