Clustering by a genetic algorithm with biased mutation operator.
Benjamin AuffarthPublished in: IEEE Congress on Evolutionary Computation (2010)
Keyphrases
- mutation operator
- genetic algorithm
- evolutionary algorithm
- crossover operator
- differential evolution
- premature convergence
- genetic operators
- evolutionary programming
- fitness function
- crossover and mutation
- search direction
- clustering algorithm
- function optimization
- convergence rate
- crossover and mutation operators
- multi objective
- k means
- nsga ii
- initial population
- simulated annealing algorithm
- hybrid genetic algorithm
- optimization method
- real coded
- population diversity
- optimization problems
- genetic algorithm ga
- evolutionary process
- search capabilities
- genetic programming
- evolutionary strategy
- simulated annealing
- evolution strategy
- optimization algorithm
- mathematical model
- step size
- multi objective optimization
- multiresolution
- selection operator
- artificial neural networks