Assessing the Performance of Several Fitness Functions in a Genetic Algorithm for Nonlinear Separation of Sources.
Fernando RojasCarlos García PuntonetJuan Manuel GórrizOlga ValenzuelaPublished in: ICNC (3) (2005)
Keyphrases
- fitness function
- genetic algorithm
- genetic programming
- genetic algorithm ga
- evolutionary algorithm
- evolutionary computation
- source separation
- genetic operators
- blind separation
- evolutionary search
- fitness evaluation
- crossover and mutation
- real coded
- blind source separation
- source signals
- neural network
- evolutionary process
- genetic algorithm is employed
- artificial neural networks
- information sources
- mutation operator
- crossover operator
- penalty function
- initial population
- constrained optimization problems
- particle swarm
- multi objective
- nonlinear functions
- optimization method
- metaheuristic
- search algorithm
- ant colony optimization
- multi objective evolutionary algorithms
- nsga ii
- evolutionary strategy
- fuzzy logic
- scheduling problem
- multiple objectives
- evolution strategy