Quantum evolutionary algorithm applied to transient identification of a nuclear power plant

Progress in Nuclear Energy

Volumn 53, Issue 1, 2011, Pages 86-91

  Nicolau, Andressa Dos Santos ^a   Schirru, Roberto ^a   Alvarenga De Moura Meneses, Anderson ^a  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Artificial intelligence; Nuclear transient identification; Quantum computing

Indexed keywords

ANOMALOUS EVENTS; CLASSIFICATION ALGORITHM; CORRECTIVE ACTIONS; COURSES OF ACTIONS; EVENT-BASED; NUCLEAR TRANSIENT IDENTIFICATION; OPTIMIZATION METAHEURISTIC; PLANT OPERATORS; POSTULATED ACCIDENTS; PROCESS VARIABLES; QUANTUM COMPUTING; QUANTUM EVOLUTIONARY ALGORITHMS; QUANTUM INSPIRED EVOLUTIONARY ALGORITHM; TIME INTERVAL; TRANSIENT IDENTIFICATION;

ARTIFICIAL INTELLIGENCE; MATHEMATICAL OPERATORS; NUCLEAR ENERGY; NUCLEAR POWER PLANTS; NUCLEAR REACTOR ACCIDENTS; OPTIMIZATION; PRESSURIZED WATER REACTORS; QUANTUM COMPUTERS; QUANTUM THEORY; TEACHING; TIME SERIES; TRANSIENTS;

EVOLUTIONARY ALGORITHMS;

EID: 78249256040     PISSN: 01491970     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pnucene.2010.08.004     Document Type: Review

References (14)

1. J.C.S. Almeida, R. Schirru, and C.M.N.A. Pereira A possibilistic approach for transient identification with "don't know" response capability optimized by genetic algorithm D. Ruan, P.F. Fantoni, Power Plant Surveillance and Diagnostics 2003 Springer-Verlag USA
2. E.B. Bartlett, and R.E. Uhrig Nuclear power plant status diagnostics using an artificial neural network Nuclear Technology 97 1992 272 281
3. W.R. Corcoran, N.J. Porter, J.F. Church, and M.T. Cross The critical safety functions and plant operation Nuclear Technology 55 1981 690 712
4. D. Deutsch Quantum theory, the church-turing principle and the universal quantum computer Proceedings of the Royal Society 400 1985 97 117
5. D.E. Goldberg Genetic Algorithms in Search Optimization and Machine Learning 1989 Addison-Wesley Publishing Company Massachusetts
6. K.-H. Han, and J.-H. Kim Quantum-inspired evolutionary algorithm for a class of combinatorial optimization IEEE Transactions on Evolutionary Computation 6 2002 580 593
7. ε gate, and two-phase scheme IEEE Transactions on Evolutionary Computation 8 2004 156 169
8. S. Haykin Neural Networks - A Comprehensive Foudation 1994 Macmillan College Publishing Company New York
9. J. Kennedy, and R.C. Eberhart Swarm Intelligence 2001 Morgan Kaufmann Publishers San Francisco, CA
10. J.A.C.C. Medeiros, and R. Schirru Identification of nuclear power plant transients using the particle swarm optimization algorithm Annals of Nuclear Energy 35 2008 576 582
11. M.A. Nielsen, and I.L. Chuang Quantum Computation and Quantum Information 2000 Cambridge University Press United Kingdom
12. C.M.N.A. Pereira, R. Schirru, and A.S. Martinez Learning an optimized classification system from a data base of time series patterns using genetic algorithm N.F.F. Ebecken, Data Mining, Computation Mechanics Publications 1998 WIT Press England
13. D. Roverso Soft computing tools for transient classification Information Sciences 127 2000 137 156
14. United States Nuclear Regulatory Commission TMI2 Lessons Learned Task Force Final Report - NUREG 0585 1979