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Genetic Algorithms Applied to the Nuclear Power Plant Operation

  • R. Schirru
  • C. M. N. A. Pereira
  • A. S. Martinez
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 38)

Abstract

Nuclear power plant operation often involves very important human decisions, such as actions to be taken after a nuclear accident/transient, or finding the best core reload pattern, a complex combinatorial optimization problem which requires expert knowledge. Due to the complexity involved in the decisions to be taken, computerized systems have been intensely explored in order to aid the operator. Following hardware advances, soft computing has been improved and, nowadays, intelligent technologies, such as genetic algorithms, neural networks and fuzzy systems, are being used to support operator decisions.

Keywords

Genetic Algorithm Nuclear Power Plant Travel Salesman Problem Travel Salesman Problem Fuel Assembly 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • R. Schirru
    • 1
  • C. M. N. A. Pereira
    • 2
  • A. S. Martinez
    • 1
  1. 1.Universidade Federal do Rio de Janeiro, Programa de Engenharia Nuclear, Ilha do FundãoRio de JaneiroBrazil
  2. 2.Comissão Nacional de Energia NuclearInstituto de Engenharia Nuclear -Ilha do FundãoRio de JaneiroBrazil

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