Accelerating a multi-objective memetic algorithm for feature selection using hierarchical k-means indexes.
Francia JiménezClaudio SanhuezaRegina BerrettaPablo MoscatoPublished in: GECCO (Companion) (2018)
Keyphrases
- memetic algorithm
- multi objective
- feature selection
- k means
- genetic algorithm
- evolutionary algorithm
- evolutionary computation
- tabu search
- crossover operator
- multi objective optimization
- hierarchical clustering
- timetabling problem
- optimization algorithm
- job shop scheduling problem
- particle swarm optimization
- objective function
- clustering algorithm
- multiple objectives
- nsga ii
- vehicle routing problem
- combinatorial optimization
- machine learning
- neural network
- text categorization
- optimization problems
- unsupervised learning
- metaheuristic
- genetic programming
- clustering method
- feature set
- feature selection algorithms
- search strategy
- expectation maximization
- classification accuracy
- artificial neural networks
- data structure
- decision making
- index structure
- multi objective evolutionary algorithms