Use of a multi-objective fitness function to improve cartesian genetic programming circuits.
James A. HilderJames Alfred WalkerAndy M. TyrrellPublished in: AHS (2010)
Keyphrases
- genetic programming
- fitness function
- multi objective
- evolutionary algorithm
- grammar guided genetic programming
- evolutionary computation
- genetic algorithm ga
- genetic algorithm
- nsga ii
- multiple objectives
- fitness evaluation
- symbolic regression
- multi objective optimization
- optimization problems
- particle swarm
- genetic operators
- multi objective evolutionary algorithms
- gene expression programming
- optimization algorithm
- particle swarm optimization
- simulated annealing
- multi objective optimization problems
- differential evolution
- evolutionary process
- constrained optimization problems
- multiobjective optimization
- optimisation problems
- candidate solutions
- crossover and mutation
- crossover operator
- multi criteria
- search space
- feature selection