Application of genetic algorithm for optimization the safety system of the nuclear reactor

• Autorzy: El-Sayed Wahed M. , Ibrahim W. Z. , Effat A. M.
• Języki publikacji: EN

Abstrakty

EN

The purpose of this paper is to present an approach to optimization in which every target is considered as a separate objective to be optimized. Multi-objective optimization is a powerful tool for resolving conflicting objectives in engineering design and numerous other fields. One approach to solve multi-objective optimization problems is the non-dominated sorting genetic algorithm (NSGA). Genetic algorithm (GA) was applied in regarding the choice of the time intervals for the periodic testing of the components of the chimney water injection system (CWIS) of the 22 MW open pool multipurpose reactor (MPR), ETRR-2, at the Egyptian Atomic Energy Authority, has been used as a case study.

Słowa kluczowe

EN

genetic algorithm; non-dominated sorting; chimney water injection system (CWIS); Egypt nuclear

• Wydawca: Institute of Nuclear Chemistry and Technology
• Czasopismo: Nukleonika
• Rocznik: 2009
• Tom: Vol. 54, No. 1
• Strony: 51--56
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

El-Sayed Wahed M.

autor

Ibrahim W. Z.

autor

Effat A. M.

• Faculty of Science, Mathematics Department, Zagazic University, Egypt Tel.: [phone], Fax: [phone],

Bibliografia

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