Genetic Algorithm-Based Clustering and Its New Mutation Operator.
Arit ThammanoUraiwan KakulphimpPublished in: ICIC (1) (2006)
Keyphrases
- mutation operator
- evolutionary algorithm
- differential evolution
- genetic algorithm
- clustering algorithm
- premature convergence
- k means
- evolutionary programming
- crossover operator
- clustering method
- convergence rate
- search direction
- genetic operators
- neural network
- step size
- optimization problems
- multiscale
- function optimization
- particle swarm optimization
- nsga ii
- genetic programming
- computational complexity
- crossover and mutation
- crossover and mutation operators