A parallel genetic algorithm with niching technique applied to a nuclear reactor core design optimization problem

Progress in Nuclear Energy

Volumn 50, Issue 7, 2008, Pages 740-746

  Pereira, Cláudio M N A ^a   Sacco, Wagner F ^b  

^a INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES   (Brazil)

^b STATE UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Island Genetic Algorithms; Niching methods; Reactor core design

Indexed keywords

AEROSPACE APPLICATIONS; ALGORITHMS; ARCHITECTURAL DESIGN; BIOELECTRIC PHENOMENA; BOOLEAN FUNCTIONS; DIESEL ENGINES; FUNCTION EVALUATION; GALLIUM; GASES; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; INTEGER PROGRAMMING; KETONES; LANDFORMS; MACHINE DESIGN; MATHEMATICAL PROGRAMMING; NATURAL RESOURCES EXPLORATION; NUCLEAR ENERGY; NUCLEAR ENGINEERING; NUCLEAR PHYSICS; NUCLEAR PROPULSION; NUCLEAR REACTORS; OPTIMIZATION; PARALLEL ALGORITHMS; PETROLEUM ENGINEERING; REACTOR CORES; SCHEDULING ALGORITHMS; STANDARDS;

APPLIED (CO); COMPLEX PROBLEMS; COMPUTATIONAL COSTS; CORE DESIGNS; CROSSOVER OPERATORS; DISTRIBUTED APPROACHES; ELSEVIER (CO); GENETIC DRIFTS; GLOBAL OPTIMIZATION TECHNIQUES; HYBRID APPROACHES; IN ORDER; LOCAL OPTIMUM; MUTATION OPERATORS; NATURAL EVOLUTION; NICHING GENETIC ALGORITHMS (NGA); NICHING TECHNIQUES; OPTIMIZ ATION PROBLEMS; PARALLEL GENETIC ALGORITHM (PGA); PARALLEL PROCESSING; PREMATURE CONVERGENCE; PROCESSING TIME; SEARCH PROCESSES; SEARCH SPACES; TRADITIONAL TECHNIQUES;

EVOLUTIONARY ALGORITHMS;

EID: 46349108936     PISSN: 01491970     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pnucene.2007.12.007     Document Type: Article

References (21)

1. Anderberg M.R. Clusters Analysis for Applications (1975), Academic Press, New York
2. Bezdek J.C. Pattern Recognition with Fuzzy Objective Function Algorithms (1981), Plenum Press, New York
3. Cantú-Paz E. Efficient and Accurate Parallel Genetic Algorithms (2000), Kluwer Academic Publishers, Norwell, MA, USA
4. Goldberg D.E. Genetic Algorithms in Search, Optimization & Machine Learning (1989), Addison-Wesley, Reading, MA, USA
5. Goldberg, D.E., Richardson, J., 1987. Genetic algorithms with sharing for multimodal function optimization, genetic algorithms and their applications. In: Proceedings of the Second International Conference on Genetic Algorithms, Hillsdale, New Jersey, USA. p. 41.
6. Greffenstette J.J. A User's Guide to GENESIS, version 5.0 (1990), Navy Center for Applied Research in Artificial Intelligence, Washington DC
7. Hall L.O., Ozyurt B., and Bezdek J.C. Clustering with a genetically optimized approach. IEEE Transactions on Evolutionary Computation 3 2 (1999) 103-112
8. Höppner F., Klawonn F., Kruse R., and Runkler T. Fuzzy Cluster Analysis (1999), John Wiley & Sons, New York
9. Krishnapuram R., and Keller J.M. A possibilistic approach to clustering. IEEE Transactions On Fuzzy Systems 1 2 (1993) 98-110
10. Mahfoud, S.W., 1995. Niching Methods for Genetic Algorithms, PhD thesis, Illinois Genetic Algorithm Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL.
11. McBratney A.B., and Moore A.W. Application of fuzzy sets to climatic classification. Agricultural and Forest Meteorology 35 (1985) 165
12. Pereira, C.M.N.A., 2005. A hybrid niched-island genetic algorithm applied to a nuclear core optimization problem. In: International Nuclear Atlantic Conference (INAC), Santos, SP, Brazil.
13. Pereira C.M.N.A., Schirru R., and Martinez A.S. Basic investigations related to genetic algorithms in core designs. Annals of Nuclear Energy 26 (1999) 173
14. Pereira C.M.N.A., and Lapa C.M.F. Coarse-grained parallel genetic algorithm applied to a nuclear reactor core design optimization problem. Annals of Nuclear Energy 30 (2003) 555
15. Pétrowski, A., 1996. A clearing procedure as a niching method for genetic algorithms. In: Proceedings of the 1996 IEEE International Conference on Evolutionary Computation (ICEC'96), Nagoya, Japan. p. 798.
16. Sacco W.F., Pereira C.M.N.A., Machado M.D., and Schirru R. The fuzzy clearing approach for a niching genetic algorithm applied to a nuclear reactor core design optimization problem. Annals of Nuclear Energy 31 (2004) 55
17. Sacco W.F., Lapa C.M.F., Pereira C.M.NA., and de Oliveira C.R.E. A niching genetic algorithm applied to a nuclear power plant auxiliary feedwater system surveillance tests policy optimization. Annals of Nuclear Energy 33 (2006) 753-759
18. Sareni B., and Krähenbühl L. Fitness sharing and niching methods revisited. IEEE Transactions on Evolutionary Computation 2 (1998) 97
19. Suich J.E., and Honeck H.C. The HAMMER System Heterogeneous Analysis by Multigroup Methods of Exponentials and Reactors (1967), Savannah River Laboratory, Aiken, South Carolina
20. Yin, X., Germay, N., 1993. A fast genetic algorithm with sharing scheme using cluster analysis methods in multimodal function optimization. In: Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms. p. 450.
21. Zadeh L.A. Fuzzy sets. Information and Control 8 (1965) 338