Genetic Based Machine Learning: Merging Pittsburgh and Michigan, an Implicit Feature Selection Mechanism and a New Crossover Operator.
Cristiano Grijó PitanguiGerson ZaveruchaPublished in: HIS (2006)
Keyphrases
- selection mechanism
- crossover operator
- genetic algorithm
- learning classifier systems
- machine learning
- crossover and mutation operators
- classifier systems
- evolutionary algorithm
- mutation operator
- fitness function
- traveling salesman problem
- real coded genetic algorithms
- binary representation
- differential evolution
- genetic algorithm ga
- selective attention
- function optimization
- constrained optimization problems
- genetic operators
- constrained multi objective optimization problems
- computer vision
- reinforcement learning
- multi objective
- simulated annealing
- machine learning algorithms
- evolutionary computation
- feature selection
- explore the search space
- search algorithm
- optimization problems
- optimization algorithm
- crossover and mutation
- neural network