Published 2009 | Version v1
Journal article Metadata-only

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

Creators

  • 1. Faculty of Science, Mathematics Department, Zagazic University, (Egypt)
  • 2. Atomic Energy Authority, Cairo (Egypt)

Description

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. (authors)

Additional details

Publishing Information

Journal Title
Nukleonika
Journal Volume
54
Journal Issue
1
Series
15 refs., 4 figs.
Journal Page Range
p. 51-56
ISSN
0029-5922

INIS

Country of Publication
Poland
Country of Input or Organization
Poland
INIS RN
40053555
Subject category
S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS; S22: GENERAL STUDIES OF NUCLEAR REACTORS;
Descriptors DEI
ALGORITHMS; CHIMNEYS; EGYPTIAN ATOMIC ENERGY COMMISSION; ETRR-2 REACTOR; OPTIMIZATION; REACTOR SAFETY; SORTING; TESTING; WATER COOLERS
Descriptors DEC
APPLIANCES; EGYPTIAN ORGANIZATIONS; ENRICHED URANIUM REACTORS; EQUIPMENT; HEAT EXCHANGERS; MATHEMATICAL LOGIC; NATIONAL ORGANIZATIONS; POOL TYPE REACTORS; REACTORS; RESEARCH AND TEST REACTORS; RESEARCH REACTORS; SAFETY; THERMAL REACTORS; WATER COOLED REACTORS; WATER MODERATED REACTORS