Avoiding premature convergence in estimation of distribution algorithms.
Luis de la OssaJosé A. GámezJuan L. MateoJosé Miguel PuertaPublished in: IEEE Congress on Evolutionary Computation (2009)
Keyphrases
- estimation of distribution algorithms
- premature convergence
- particle swarm optimization algorithm
- particle swarm
- global optima
- particle swarm optimization
- evolutionary algorithm
- mutation operator
- pso algorithm
- differential evolution
- global search
- genetic algorithm
- convergence speed
- evolutionary computation
- genetic algorithm ga
- multi objective optimization
- multi objective
- simulated annealing
- hybrid algorithm
- solution space
- feature subset selection
- crossover and mutation
- particle swarm optimization pso
- combinatorial optimization problems
- convergence rate
- fitness function
- combinatorial optimization
- genetic programming
- global optimization
- crossover operator
- genetic operators
- optimization problems
- metaheuristic
- differential evolution algorithm
- ant colony optimization
- continuous domains
- swarm intelligence
- evolution strategy
- optimization method
- nsga ii
- feature selection
- artificial intelligence