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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Published in:	Reliability engineering & system safety Vol. 67; no. 3; pp. 215 - 232
Main Authors:	Martorell, S., Carlos, S., Sánchez, A., Serradell, V.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.03.2000
Subjects:	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
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Abstract	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 Intervals (TIs) within the Technical Specifications (TSs) of NPPs and it seems to be a consensus on the need of making these requirements more risk-effective and less costly. Resource versus risk-control effectiveness principles formally enters in optimization problems. This paper presents an approach for using the PRA models in conducting the constrained optimization of TIs based on a steady-state genetic algorithm (SSGA) where the cost or the burden is to be minimized while the risk or performance is constrained to be at a given level, or vice versa. The paper encompasses first with the problem formulation, where the objective function and constraints that apply in the constrained optimization of TIs based on risk and cost models at system level are derived. Next, the foundation of the optimizer is given, which is derived by customizing a SSGA in order to allow optimizing TIs under constraints. Also, a case study is performed using this approach, which shows the benefits of adopting both PRA models and genetic algorithms, in particular for the constrained optimization of TIs, although it is also expected a great benefit of using this approach to solve other engineering optimization problems. However, care must be taken in using genetic algorithms in constrained optimization problems as it is concluded in this paper.
AbstractList	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 Intervals (TIs) within the Technical Specifications (TSs) of NPPs and it seems to be a consensus on the need of making these requirements more risk-effective and less costly. Resource versus risk-control effectiveness principles formally enters in optimization problems. This paper presents an approach for using the PRA models in conducting the constrained optimization of TIs based on a steady-state genetic algorithm (SSGA) where the cost or the burden is to be minimized while the risk or performance is constrained to be at a given level, or vice versa. The paper encompasses first with the problem formulation, where the objective function and constraints that apply in the constrained optimization of TIs based on risk and cost models at system level are derived. Next, the foundation of the optimizer is given, which is derived by customizing a SSGA in order to allow optimizing TIs under constraints. Also, a case study is performed using this approach, which shows the benefits of adopting both PRA models and genetic algorithms, in particular for the constrained optimization of TIs, although it is also expected a great benefit of using this approach to solve other engineering optimization problems. However, care must be taken in using genetic algorithms in constrained optimization problems as it is concluded in this paper.
Author	Sánchez, A. Martorell, S. Carlos, S. Serradell, V.
Author_xml	– sequence: 1 givenname: S. surname: Martorell fullname: Martorell, S. email: smartore@iqn.upv.es – sequence: 2 givenname: S. surname: Carlos fullname: Carlos, S. – sequence: 3 givenname: A. surname: Sánchez fullname: Sánchez, A. – sequence: 4 givenname: V. surname: Serradell fullname: Serradell, V.
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Keywords	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
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References	Kim I, Martorell S, Vesely W, Samanta P. Quantitative evaluation of surveillance test intervals including test-caused risks. NUREG/CR-5775. February 1992. Kim, Martorell, Vesely, Samanta (BIB38) 1994; 45 Beasley, Bull, Martin (BIB17) 1993; 15 De Jong K. An analysis of the behaviour of a class of genetic adaptive systems. PhD thesis, University of Michigan, 1975. Vaurio (BIB11) 1995; 49 Michalewicz (BIB31) 1995 USNRC Regulatory guide 1.174. An approach for using probabilistic risk assessment in risk-informed decisions on plant-specific changes to the current licensing basis, February 1998. Davis (BIB27) 1991 Fletcher (BIB13) 1987 Muñoz, Martorell, Serradell (BIB12) 1997; 3 Vesely, Apostolakis (BIB1) 1999; 63 Joines JA, Houck CR. On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GAs. Proceedings of the Evolutionary Computation Conference-Poster Sessions, part of the IEEE World Congress on Computational Intelligence, Orlando, 26–29 June 1994. p. 579–84. Carlson S. A general method for handling constraints in genetic algorithms. University of Virginia, 1995. EPRI TR-105396, PSA Applications Guide. August 1995. Kumar, Pathak, Grupta (BIB23) 1995; 44 Painton, Campbell (BIB24) 1995; 44 Michalewicz (BIB29) 1996 Martorell, Muñoz, Serradell (BIB39) 1996; 45 Henley, Kumamoto (BIB36) 1961 Goldberg (BIB26) 1989 (BIB22) 1996 USNRC Regulatory Guide 1.177. An approach for plant-specific changes, risk-informed decision-making: Technical Specifications. August 1998. UPV-CSN-UNESA, Proyecto de I+D para la realización de una experiencia piloto de la aplicación de los APS a la modificación de las especificaciones técnicas. In Spanish, 11 November 1998. CSN-UNESA, Documento básico para el proceso de realización y evaluación de las aplicaciones de los APS. In Spanish. Grupo Mixto para APS y Banco de Datos, Internal Report. Edicion 0, 11 November 1998. Martorell, Serradell, Samanta (BIB34) 1995; 47 Miller BL, Goldberg DE. Optimal sampling for genetic algorithms. Illigal report no. 96005, 1996. Vesely (BIB7) 1999; 63 Caruso, Cheok, Cunningham, Holahan, King, Parry, Ramey-Smith, Rubin, Thadani (BIB4) 1999; 63 Leemis (BIB35) 1995 Beasley, Bull, Martin (BIB16) 1993; 15 Holland (BIB19) 1975 Levitin, Lisnianski (BIB25) 1999; 64 Bäck (BIB18) 1996 Righini, Bottazzi, Dubi, Fichera, Gandini, Kladias, Simonot (BIB15) 1996; 3 Fogel (BIB21) 1994; 15 Harunuzzaman, Aldemir (BIB14) 1996; 113 Carlson S, Shonkwiler R, Babar S, Aral M. Annealing a genetic algorithm over constraints. University of Virginia, 1995. Martorell, Sanchez, Serradell (BIB40) 1999; 64 Muñoz, Martorell, Serradell (BIB10) 1997; 57 Fogel (BIB28) 1995 USNRC. Use of probabilistic risk assessment methods in nuclear activities: final policy statement. Federal Register, vol. 60, 16 August 1995. p. 42 622. Vaurio (BIB41) 1999; 63 Muñoz (10.1016/S0951-8320(99)00074-5_BIB12) 1997; 3 Martorell (10.1016/S0951-8320(99)00074-5_BIB40) 1999; 64 Michalewicz (10.1016/S0951-8320(99)00074-5_BIB29) 1996 Vesely (10.1016/S0951-8320(99)00074-5_BIB7) 1999; 63 10.1016/S0951-8320(99)00074-5_BIB20 10.1016/S0951-8320(99)00074-5_BIB42 Martorell (10.1016/S0951-8320(99)00074-5_BIB34) 1995; 47 10.1016/S0951-8320(99)00074-5_BIB3 10.1016/S0951-8320(99)00074-5_BIB2 Leemis (10.1016/S0951-8320(99)00074-5_BIB35) 1995 10.1016/S0951-8320(99)00074-5_BIB5 (10.1016/S0951-8320(99)00074-5_BIB22) 1996 10.1016/S0951-8320(99)00074-5_BIB6 Fogel (10.1016/S0951-8320(99)00074-5_BIB21) 1994; 15 10.1016/S0951-8320(99)00074-5_BIB9 10.1016/S0951-8320(99)00074-5_BIB8 Fogel (10.1016/S0951-8320(99)00074-5_BIB28) 1995 Righini (10.1016/S0951-8320(99)00074-5_BIB15) 1996; 3 Holland (10.1016/S0951-8320(99)00074-5_BIB19) 1975 Vaurio (10.1016/S0951-8320(99)00074-5_BIB41) 1999; 63 Beasley (10.1016/S0951-8320(99)00074-5_BIB17) 1993; 15 Levitin (10.1016/S0951-8320(99)00074-5_BIB25) 1999; 64 10.1016/S0951-8320(99)00074-5_BIB30 Kim (10.1016/S0951-8320(99)00074-5_BIB38) 1994; 45 Caruso (10.1016/S0951-8320(99)00074-5_BIB4) 1999; 63 Painton (10.1016/S0951-8320(99)00074-5_BIB24) 1995; 44 10.1016/S0951-8320(99)00074-5_BIB33 10.1016/S0951-8320(99)00074-5_BIB32 10.1016/S0951-8320(99)00074-5_BIB37 Davis (10.1016/S0951-8320(99)00074-5_BIB27) 1991 Bäck (10.1016/S0951-8320(99)00074-5_BIB18) 1996 Vesely (10.1016/S0951-8320(99)00074-5_BIB1) 1999; 63 Henley (10.1016/S0951-8320(99)00074-5_BIB36) 1961 Harunuzzaman (10.1016/S0951-8320(99)00074-5_BIB14) 1996; 113 Fletcher (10.1016/S0951-8320(99)00074-5_BIB13) 1987 Kumar (10.1016/S0951-8320(99)00074-5_BIB23) 1995; 44 Martorell (10.1016/S0951-8320(99)00074-5_BIB39) 1996; 45 Beasley (10.1016/S0951-8320(99)00074-5_BIB16) 1993; 15 Muñoz (10.1016/S0951-8320(99)00074-5_BIB10) 1997; 57 Goldberg (10.1016/S0951-8320(99)00074-5_BIB26) 1989 Vaurio (10.1016/S0951-8320(99)00074-5_BIB11) 1995; 49 Michalewicz (10.1016/S0951-8320(99)00074-5_BIB31) 1995
References_xml	– reference: USNRC. Use of probabilistic risk assessment methods in nuclear activities: final policy statement. Federal Register, vol. 60, 16 August 1995. p. 42 622. – volume: 63 start-page: 223 year: 1999 end-page: 224 ident: BIB1 article-title: Developments in risk-informed decision-making for nuclear power plants publication-title: Reliability Engineering and System Safety – reference: De Jong K. An analysis of the behaviour of a class of genetic adaptive systems. PhD thesis, University of Michigan, 1975. – reference: Miller BL, Goldberg DE. Optimal sampling for genetic algorithms. Illigal report no. 96005, 1996. – reference: EPRI TR-105396, PSA Applications Guide. August 1995. – reference: Carlson S, Shonkwiler R, Babar S, Aral M. Annealing a genetic algorithm over constraints. University of Virginia, 1995. – volume: 63 start-page: 283 year: 1999 end-page: 292 ident: BIB7 article-title: Principles of resource-effectiveness and regulatory-effectiveness for risk-informed applications: Reducing burdens by improving effectiveness publication-title: Reliability Engineering and System Safety – year: 1975 ident: BIB19 publication-title: Adaptation in natural and artificial systems – volume: 15 start-page: 3 year: 1994 end-page: 14 ident: BIB21 article-title: An introduction to simulated evolutionary optimization publication-title: IEEE Transactions on Neural Networks – volume: 3 start-page: 1745 year: 1996 end-page: 1758 ident: BIB15 article-title: A new Monte Carlo method for reliability centered maintenance improvement publication-title: Proceedings of Probabilistic Safety Assessment and Management, ESREL’96 – year: 1989 ident: BIB26 publication-title: Genetic algorithms in search, optimization and machine learning – start-page: 135 year: 1995 end-page: 155 ident: BIB31 article-title: A survey of constraint handling techniques in evolutionary computation methods publication-title: Proceedings of the Fourth International Conference on Evolutionary Programming, San Diego, CA – volume: 45 start-page: 225 year: 1994 end-page: 234 ident: BIB38 article-title: Risk analysis of surveillance requirements including their adverse effects publication-title: Reliability Engineering and System Safety – reference: UPV-CSN-UNESA, Proyecto de I+D para la realización de una experiencia piloto de la aplicación de los APS a la modificación de las especificaciones técnicas. In Spanish, 11 November 1998. – year: 1996 ident: BIB18 publication-title: Evolutionary algorithms in theory and practice. evolution strategies, evolutionary programming, genetic algorithms – reference: USNRC Regulatory Guide 1.177. An approach for plant-specific changes, risk-informed decision-making: Technical Specifications. August 1998. – volume: 3 start-page: 1749 year: 1997 end-page: 1756 ident: BIB12 article-title: Numerical absolute and constrained optimization of maintenance based on risk and cost criteria using genetic algorithms publication-title: In Proceedings of Advances in Safety and Reliability, ESREL’97, Lisboa – reference: USNRC Regulatory guide 1.174. An approach for using probabilistic risk assessment in risk-informed decisions on plant-specific changes to the current licensing basis, February 1998. – volume: 57 start-page: 107 year: 1997 end-page: 120 ident: BIB10 article-title: Genetic algorithms in optimizing surveillance and maintenance of components publication-title: Reliability Engineering and System Safety – reference: CSN-UNESA, Documento básico para el proceso de realización y evaluación de las aplicaciones de los APS. In Spanish. Grupo Mixto para APS y Banco de Datos, Internal Report. Edicion 0, 11 November 1998. – volume: 15 start-page: 170 year: 1993 end-page: 181 ident: BIB17 article-title: An overview of genetic algorithms. Part 2. Research topics publication-title: University Computing – reference: Kim I, Martorell S, Vesely W, Samanta P. Quantitative evaluation of surveillance test intervals including test-caused risks. NUREG/CR-5775. February 1992. – volume: 45 start-page: 433 year: 1996 end-page: 442 ident: BIB39 article-title: Age-dependent models for evaluating risks and costs of surveillance and maintenance of components publication-title: IEEE Transactions on Reliability – volume: 63 start-page: 231 year: 1999 end-page: 242 ident: BIB4 article-title: An approach for using risk assessment in risk-informed decisions on plant-specific changes to the licensing basis publication-title: Reliability Engineering and System Safety – year: 1987 ident: BIB13 publication-title: Practical methods of optimization – volume: 44 start-page: 172 year: 1995 end-page: 178 ident: BIB24 article-title: Genetic algorithms in optimization of system reliability publication-title: IEEE Transactions on Reliability – year: 1991 ident: BIB27 publication-title: Handbook of genetic algorithms – volume: 63 start-page: 133 year: 1999 end-page: 140 ident: BIB41 article-title: Availability and cost functions for periodically inspected preventively maintained units publication-title: Reliability Engineering and System Safety – reference: Carlson S. A general method for handling constraints in genetic algorithms. University of Virginia, 1995. – year: 1961 ident: BIB36 publication-title: Reliability engineering and risk assessment – year: 1996 ident: BIB22 publication-title: Genetic algorithms and soft computing – year: 1995 ident: BIB28 publication-title: Evolutionary computation – volume: 49 start-page: 23 year: 1995 end-page: 36 ident: BIB11 article-title: Optimization of test and maintenance intervals based on risk and cost publication-title: Reliability Engineering and System Safety – volume: 64 start-page: 33 year: 1999 end-page: 42 ident: BIB25 article-title: Join redundancy and maintenance optimization for multistage series-parallel systems publication-title: Reliability Engineering and System Safety – volume: 64 start-page: 19 year: 1999 end-page: 31 ident: BIB40 article-title: Age-dependent reliability model considering effects of maintenance and working conditions publication-title: Reliability Engineering and System Safety – volume: 47 start-page: 119 year: 1995 end-page: 129 ident: BIB34 article-title: Improving allowed outage time and surveillance test interval requirements: a study of their interactions using probabilistic methods publication-title: Reliability Engineering and System Safety – volume: 44 start-page: 63 year: 1995 end-page: 68 ident: BIB23 article-title: Genetic-algorithms-based reliability optimization for computer network expansion publication-title: IEEE Transactions on Reliability – volume: 113 start-page: 354 year: 1996 end-page: 367 ident: BIB14 article-title: Optimization of standby safety system maintenance schedules in nuclear power plants publication-title: Nuclear Technology – reference: Joines JA, Houck CR. On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GAs. Proceedings of the Evolutionary Computation Conference-Poster Sessions, part of the IEEE World Congress on Computational Intelligence, Orlando, 26–29 June 1994. p. 579–84. – year: 1995 ident: BIB35 publication-title: Reliability. probabilistic models and statistical methods – volume: 15 start-page: 58 year: 1993 end-page: 69 ident: BIB16 article-title: An overview of genetic algorithms: Part 1. Fundamentals publication-title: University Computing – year: 1996 ident: BIB29 publication-title: Genetic algorithms+data structures=evolution programs – volume: 63 start-page: 223 year: 1999 ident: 10.1016/S0951-8320(99)00074-5_BIB1 article-title: Developments in risk-informed decision-making for nuclear power plants publication-title: Reliability Engineering and System Safety doi: 10.1016/S0951-8320(98)00036-2 – volume: 63 start-page: 283 year: 1999 ident: 10.1016/S0951-8320(99)00074-5_BIB7 article-title: Principles of resource-effectiveness and regulatory-effectiveness for risk-informed applications: Reducing burdens by improving effectiveness publication-title: Reliability Engineering and System Safety doi: 10.1016/S0951-8320(98)00044-1 – volume: 113 start-page: 354 year: 1996 ident: 10.1016/S0951-8320(99)00074-5_BIB14 article-title: Optimization of standby safety system maintenance schedules in nuclear power plants publication-title: Nuclear Technology doi: 10.13182/NT96-A35215 – volume: 15 start-page: 170 issue: 4 year: 1993 ident: 10.1016/S0951-8320(99)00074-5_BIB17 article-title: An overview of genetic algorithms. Part 2. Research topics publication-title: University Computing – year: 1961 ident: 10.1016/S0951-8320(99)00074-5_BIB36 – start-page: 135 year: 1995 ident: 10.1016/S0951-8320(99)00074-5_BIB31 article-title: A survey of constraint handling techniques in evolutionary computation methods – ident: 10.1016/S0951-8320(99)00074-5_BIB3 – volume: 64 start-page: 19 year: 1999 ident: 10.1016/S0951-8320(99)00074-5_BIB40 article-title: Age-dependent reliability model considering effects of maintenance and working conditions publication-title: Reliability Engineering and System Safety doi: 10.1016/S0951-8320(98)00050-7 – volume: 3 start-page: 1745 year: 1996 ident: 10.1016/S0951-8320(99)00074-5_BIB15 article-title: A new Monte Carlo method for reliability centered maintenance improvement publication-title: Proceedings of Probabilistic Safety Assessment and Management, ESREL’96 – volume: 49 start-page: 23 year: 1995 ident: 10.1016/S0951-8320(99)00074-5_BIB11 article-title: Optimization of test and maintenance intervals based on risk and cost publication-title: Reliability Engineering and System Safety doi: 10.1016/0951-8320(95)00035-Z – year: 1995 ident: 10.1016/S0951-8320(99)00074-5_BIB35 – volume: 15 start-page: 58 issue: 2 year: 1993 ident: 10.1016/S0951-8320(99)00074-5_BIB16 article-title: An overview of genetic algorithms: Part 1. Fundamentals publication-title: University Computing – ident: 10.1016/S0951-8320(99)00074-5_BIB8 – year: 1987 ident: 10.1016/S0951-8320(99)00074-5_BIB13 – ident: 10.1016/S0951-8320(99)00074-5_BIB37 – ident: 10.1016/S0951-8320(99)00074-5_BIB6 – volume: 57 start-page: 107 year: 1997 ident: 10.1016/S0951-8320(99)00074-5_BIB10 article-title: Genetic algorithms in optimizing surveillance and maintenance of components publication-title: Reliability Engineering and System Safety doi: 10.1016/S0951-8320(97)00031-8 – ident: 10.1016/S0951-8320(99)00074-5_BIB33 – volume: 45 start-page: 225 year: 1994 ident: 10.1016/S0951-8320(99)00074-5_BIB38 article-title: Risk analysis of surveillance requirements including their adverse effects publication-title: Reliability Engineering and System Safety doi: 10.1016/0951-8320(94)90139-2 – ident: 10.1016/S0951-8320(99)00074-5_BIB42 – volume: 44 start-page: 172 issue: 2 year: 1995 ident: 10.1016/S0951-8320(99)00074-5_BIB24 article-title: Genetic algorithms in optimization of system reliability publication-title: IEEE Transactions on Reliability doi: 10.1109/24.387368 – volume: 47 start-page: 119 year: 1995 ident: 10.1016/S0951-8320(99)00074-5_BIB34 article-title: Improving allowed outage time and surveillance test interval requirements: a study of their interactions using probabilistic methods publication-title: Reliability Engineering and System Safety doi: 10.1016/0951-8320(94)00043-N – year: 1991 ident: 10.1016/S0951-8320(99)00074-5_BIB27 – volume: 15 start-page: 3 issue: 1 year: 1994 ident: 10.1016/S0951-8320(99)00074-5_BIB21 article-title: An introduction to simulated evolutionary optimization publication-title: IEEE Transactions on Neural Networks doi: 10.1109/72.265956 – year: 1996 ident: 10.1016/S0951-8320(99)00074-5_BIB22 – volume: 63 start-page: 133 year: 1999 ident: 10.1016/S0951-8320(99)00074-5_BIB41 article-title: Availability and cost functions for periodically inspected preventively maintained units publication-title: Reliability Engineering and System Safety doi: 10.1016/S0951-8320(98)00030-1 – ident: 10.1016/S0951-8320(99)00074-5_BIB30 doi: 10.1109/ICEC.1994.349995 – ident: 10.1016/S0951-8320(99)00074-5_BIB2 – year: 1975 ident: 10.1016/S0951-8320(99)00074-5_BIB19 – year: 1995 ident: 10.1016/S0951-8320(99)00074-5_BIB28 – ident: 10.1016/S0951-8320(99)00074-5_BIB32 – year: 1996 ident: 10.1016/S0951-8320(99)00074-5_BIB18 – volume: 63 start-page: 231 year: 1999 ident: 10.1016/S0951-8320(99)00074-5_BIB4 article-title: An approach for using risk assessment in risk-informed decisions on plant-specific changes to the licensing basis publication-title: Reliability Engineering and System Safety doi: 10.1016/S0951-8320(98)00038-6 – ident: 10.1016/S0951-8320(99)00074-5_BIB9 – volume: 44 start-page: 63 issue: 1 year: 1995 ident: 10.1016/S0951-8320(99)00074-5_BIB23 article-title: Genetic-algorithms-based reliability optimization for computer network expansion publication-title: IEEE Transactions on Reliability doi: 10.1109/24.376523 – volume: 45 start-page: 433 issue: 3 year: 1996 ident: 10.1016/S0951-8320(99)00074-5_BIB39 article-title: Age-dependent models for evaluating risks and costs of surveillance and maintenance of components publication-title: IEEE Transactions on Reliability doi: 10.1109/24.537014 – ident: 10.1016/S0951-8320(99)00074-5_BIB5 – ident: 10.1016/S0951-8320(99)00074-5_BIB20 – volume: 64 start-page: 33 year: 1999 ident: 10.1016/S0951-8320(99)00074-5_BIB25 article-title: Join redundancy and maintenance optimization for multistage series-parallel systems publication-title: Reliability Engineering and System Safety doi: 10.1016/S0951-8320(98)00052-0 – volume: 3 start-page: 1749 year: 1997 ident: 10.1016/S0951-8320(99)00074-5_BIB12 article-title: Numerical absolute and constrained optimization of maintenance based on risk and cost criteria using genetic algorithms publication-title: In Proceedings of Advances in Safety and Reliability, ESREL’97, Lisboa doi: 10.1016/B978-008042835-2/50196-X – year: 1996 ident: 10.1016/S0951-8320(99)00074-5_BIB29 – year: 1989 ident: 10.1016/S0951-8320(99)00074-5_BIB26
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Snippet	There is a growing interest from both the regulatory authorities and the nuclear industry to stimulate the use of Probabilistic Risk Analysis (PRA) for...
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SubjectTerms	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
Title	Constrained optimization of test intervals using a steady-state genetic algorithm
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