The use of a genetic algorithm to optimize the functional form of a multi-dimensional polynomial fit to experimental data.
Janet CleggJohn F. DawsonStuart J. PorterMark H. BarleyPublished in: Congress on Evolutionary Computation (2005)
Keyphrases
- experimental data
- multi dimensional
- genetic algorithm
- dynamic model
- genetic algorithm is applied
- mathematical models
- fitness function
- evolutionary algorithm
- neural network
- multi dimensional data
- metaheuristic
- genetic programming
- data cube
- artificial neural networks
- fuzzy logic
- multiple dimensions
- multi objective
- genetic algorithm ga
- differential evolution
- finite element model
- parameter estimates
- simulated annealing
- prior knowledge
- least squares