Genetic Algorithms Using Neural Network Regression and Group Lasso for Dynamic Selection of Crossover Operators.
Masaya KatoMiho OhsakiKei OhnishiPublished in: SCIS/ISIS (2020)
Keyphrases
- crossover operator
- group lasso
- genetic algorithm
- regression model
- neural network
- regression coefficients
- mutation operator
- variable selection
- fitness function
- evolutionary algorithm
- regression problems
- genetic algorithm ga
- artificial neural networks
- explore the search space
- differential evolution
- model selection
- genetic programming
- contingency tables
- multi objective
- traveling salesman problem
- linear models
- multiple kernel learning
- efficient optimization
- regularization term
- simulated annealing
- multi label learning
- multi task learning
- optimization method
- metaheuristic
- selection operator
- multi objective optimization
- gaussian process
- multi task
- convex optimization
- learning algorithm
- machine learning