A selection method for evolutionary algorithms based on the Golden Section.
Erik CuevasLuis EnríquezDaniel ZaldivarMarco A. Pérez CisnerosPublished in: Expert Syst. Appl. (2018)
Keyphrases
- evolutionary algorithm
- experimental evaluation
- synthetic data
- clustering method
- objective function
- high precision
- computationally efficient
- significant improvement
- segmentation method
- high accuracy
- fitness function
- fully automatic
- optimization problems
- convergence rate
- selection algorithm
- hybrid method
- selection strategy
- selection scheme
- detection method
- data sets
- mutual information
- computational cost
- dynamic programming
- cost function
- computational complexity
- multiscale
- learning algorithm
- neural network