LONSA as a tool for loading pattern optimization for VVER-1000 using synergy of a neural network and simulated annealing

Annals of Nuclear Energy

Volumn 35, Issue 10, 2008, Pages 1968-1973

  Fadaei, A H ^a   Setayeshi, S ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ANNEALING; HOPFIELD NEURAL NETWORKS; IMAGE CLASSIFICATION; NEURAL NETWORKS; NUCLEAR REACTORS; OPTIMIZATION; REACTOR CORES; STRUCTURAL OPTIMIZATION;

BEST SOLUTION; FUEL MANAGEMENT; GLOBAL MINIMUM; HOPFIELD; LOADING PATTERN; LOCAL MINIMUMS; NEURAL NETWORK MODELLING; OPTIMIZ ATION PROBLEMS; OPTIMUM SOLUTIONS; PARALLEL STRUCTURES; POWER PEAKING FACTORS; REASONABLE TIME; SEARCH SPACES; SEARCHING ALGORITHMS; SIMULATED ANNEALING METHOD; STOCHASTIC NATURE; VVER-1000 REACTOR;

SIMULATED ANNEALING;

EID: 50149112799     PISSN: 03064549     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.anucene.2008.05.001     Document Type: Article

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