Describing Quantum-Inspired Linear Genetic Programming from symbolic regression problems.
Douglas Mota DiasMarco Aurélio Cavalcanti PachecoPublished in: IEEE Congress on Evolutionary Computation (2012)
Keyphrases
- genetic programming
- regression problems
- quantum inspired
- binary gravitational search algorithm
- symbolic regression
- fitness function
- evolutionary algorithm
- immune clonal
- genetic algorithm
- quantum computing
- multi objective
- cross validation
- mutation operator
- closed form
- genetic algorithm ga
- input space
- linear regression
- high dimensional
- decision trees