MOEA for clustering: comparison of mutation operators.
Oliver KirklandBeatriz de la IglesiaPublished in: GECCO (Companion) (2013)
Keyphrases
- mutation operator
- evolutionary algorithm
- nsga ii
- multi objective
- differential evolution
- multi objective optimization
- genetic algorithm
- clustering method
- clustering algorithm
- crossover operator
- multi criteria
- k means
- optimization algorithm
- multiobjective optimization
- premature convergence
- neural network
- fitness function
- optimization problems
- test problems
- genetic operators
- convergence rate
- pareto optimal
- bi objective
- cost function
- evolutionary computation
- genetic programming
- multi objective evolutionary algorithms