Safety systems optimum design by multicriteria evolutionary algorithms

Authors:
David Greiner;Blas Galván;Gabriel Winter
Affiliations:
Intelligent Systems and Numerical Applications in Engineering Institute, Las Palmas de Gran Canaria University, Spain;Intelligent Systems and Numerical Applications in Engineering Institute, Las Palmas de Gran Canaria University, Spain;Intelligent Systems and Numerical Applications in Engineering Institute, Las Palmas de Gran Canaria University, Spain
Venue:
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Year:
2003

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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.