Randomized Parameter Settings for Heterogeneous Workers in a Pool-Based Evolutionary Algorithm.
Mario García ValdezLeonardo TrujilloJuan Julián Merelo GuervósFrancisco Fernández de VegaPublished in: PPSN (2014)
Keyphrases
- parameter settings
- evolutionary algorithm
- genetic algorithm ga
- fitness function
- evolutionary computation
- multi objective
- parameter values
- simulated annealing
- differential evolution
- parameter tuning
- population size
- genetic programming
- function optimization
- genetic algorithm
- information technology
- mutation operator
- least squares
- parameter optimization
- particle swarm optimization pso
- fuzzy controller
- image processing
- initial population
- neural network