Hybridization of evolutionary algorithms and local search by means of a clustering method.
Alfonso C. Martínez-EstudilloCésar Hervás-MartínezFrancisco J. Martínez-EstudilloNicolás García-PedrajasPublished in: IEEE Trans. Syst. Man Cybern. Part B (2006)
Keyphrases
- clustering method
- evolutionary algorithm
- simulated annealing
- evolutionary search
- cluster analysis
- optimization problems
- genetic algorithm
- clustering algorithm
- hierarchical clustering
- differential evolution
- differential evolution algorithm
- constrained multi objective optimization problems
- fuzzy c means
- spectral clustering
- affinity propagation
- similarity measure
- subspace clustering
- k means
- search algorithm
- multi objective
- fuzzy c means clustering
- relational clustering
- multi objective optimization
- clustering framework
- clustering result
- hybrid algorithm
- unsupervised clustering
- clustering analysis
- document clustering
- data analysis
- data mining
- tabu search
- spatial clustering
- evolution strategy
- crossover operator
- dissimilarity measure
- data sets
- clustering approaches
- fitness function
- search space
- fuzzy clustering method
- island model
- classical clustering algorithms
- neural network