Multiobjective fuzzy genetics-based machine learning based on MOEA/D with its modifications.
Yusuke NojimaKoki ArahariShuji TakemuraHisao IshibuchiPublished in: FUZZ-IEEE (2017)
Keyphrases
- multi objective
- machine learning
- pareto dominance
- evolutionary algorithm
- optimization algorithm
- multi objective optimization
- uniform design
- multiobjective evolutionary algorithm
- multi criteria
- multiobjective optimization
- genetic algorithm
- fuzzy sets
- parallel distributed
- particle swarm optimization
- objective function
- nsga ii
- multiple objectives
- membership functions
- machine learning algorithms
- fuzzy rules
- pareto optimal
- fuzzy logic
- fuzzy modeling
- conflicting objectives
- machine learning methods
- pareto optimal solutions
- learning algorithm
- multiobjective genetic algorithm
- text classification
- evolutionary computation
- data mining
- multi objective evolutionary algorithms
- computational intelligence
- decision trees
- multiobjective evolutionary algorithms
- fuzzy systems
- fuzzy clustering
- optimization problems
- decision making
- feature selection