A PWR reload optimisation code (XCore) using artificial neural networks and genetic algorithms

Annals of Nuclear Energy

Volumn 30, Issue 1, 2003, Pages 35-53

  Erdoan, Adem ^a   Geçkinli, Melih ^b  

^a Cekmece Nuclear Research and Training Center   (Turkey)

^b ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; NEURAL NETWORKS; NUCLEAR FUELS; PROBABILITY;

FUEL MANAGEMENT;

PRESSURIZED WATER REACTORS;

EID: 0037208729     PISSN: 03064549     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0306-4549(02)00041-5     Document Type: Article

References (14)

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2. Fuel management optimization using genetic algorithms and expert knowledge
3. Optimal fuel loading pattern design using an artificial neural network and a fuzzy rule-based system
4. Predicting neutron diffusion eigenvalues with a query-based adaptive neural architecture
5. Multiobjective pressurized water reactor reload core design by nondominated genetic algorithm search
6. In-core fuel management: PWR core calculations using MCRAC
7. PWR fuel management optimization using neural networks