Trade Between Population Size and Mutation Rate for GAAM (Genetic Algorithm with Aggressive Mutation) for Feature Selection.
Marc ChevallierNistor GrozavuFaouzi BoufarèsNicoleta RogovschiCharly ClairmontPublished in: AIAI (1) (2022)
Keyphrases
- population size
- mutation rate
- genetic algorithm
- feature selection
- fitness function
- multi objective
- evolutionary algorithm
- parameter settings
- machine learning
- initial population
- crossover rate
- global search
- genetic operators
- markov chain
- genetic programming
- fitness landscape
- artificial neural networks
- genetic algorithm ga
- multi objective optimization
- quantum genetic algorithm
- evolutionary computation
- model selection
- mutation operator
- dynamic programming