Constrained optimization of test intervals using a steady-state genetic algorithm

There is a growing interest from both the regulatory authorities and the nuclear industry to stimulate the use of Probabilistic Risk Analysis (PRA) for risk-informed applications at Nuclear Power Plants (NPPs). Nowadays, special attention is being paid on analyzing plant-specific changes to Test Int...

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Veröffentlicht in:	Reliability engineering & system safety Jg. 67; H. 3; S. 215 - 232
Hauptverfasser:	Martorell, S., Carlos, S., Sánchez, A., Serradell, V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.03.2000
Schlagworte:	Constrained optimization Cost and burden Genetic algorithms Probabilistic risk assessment Resource-effectiveness Risk-consistency check Risk-informed decision-making Safety-related systems availability Technical specifications Test intervals Test intervals Safety-related systems availability Technical specifications Resource-effectiveness Probabilistic risk assessment Risk-informed decision-making Cost and burden Risk-consistency check Constrained optimization Genetic algorithms
ISSN:	0951-8320, 1879-0836
Online-Zugang:	Volltext
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