Pareto Inspired Multi-objective Rule Fitness for Adaptive Rule-based Machine Learning.
Ryan J. UrbanowiczRandal S. OlsonJason H. MoorePublished in: GECCO (Companion) (2016)
Keyphrases
- multi objective
- evolutionary algorithm
- machine learning
- genetic algorithm
- multi objective optimization
- optimization algorithm
- multiobjective optimization
- fitness function
- data driven
- objective function
- particle swarm optimization
- genetic programming
- evolutionary computation
- optimization problems
- multi objective optimization problems
- conflicting objectives
- nsga ii
- learning algorithm
- multiple objectives
- feature selection
- knowledge acquisition
- machine learning algorithms
- expert systems
- machine learning methods
- selection operator
- explanation based learning
- bi objective
- evolutionary process
- rule sets
- pattern recognition
- computer science
- data mining
- artificial intelligence
- text mining
- information extraction
- differential evolution
- active learning
- pareto optimal solutions
- support vector machine
- rule learning
- learning classifier systems
- computational intelligence
- learning systems
- pareto optimal
- simulated annealing
- genetic algorithm ga