Evolutionary optimization of energy systems using population graphing and neural networks

Advances in Engineering Software

Volumn 35, Issue 5, 2004, Pages 289-299

  Bryden, K M ^a   McCorkle, D S ^a  

^a Iowa State University of Science and Technology   (United States)

Author keywords

Computational fluid dynamics; Genetic algorithms; Neural networks; Optimization

Indexed keywords

BIOMASS; COMPUTATIONAL FLUID DYNAMICS; CONSTRAINT THEORY; ERROR ANALYSIS; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; HEAT EXCHANGERS; HYBRID COMPUTERS; NEURAL NETWORKS; REAL TIME SYSTEMS; REYNOLDS NUMBER; THERMAL EFFECTS; TURBINES;

POPULATION GRAPHING; REAL-TIME FITNESS EVALUATION; THREE-DIMENSIONAL NAVIER STOKES EQUATION;

SOFTWARE ENGINEERING;

EID: 2942546504     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advengsoft.2004.04.001     Document Type: Article

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