Speeding Up Evolutionary Algorithms Through Restricted Mutation Operators.
Benjamin DoerrNils HebbinghausFrank NeumannPublished in: PPSN (2006)
Keyphrases
- mutation operator
- evolutionary algorithm
- differential evolution
- multi objective
- premature convergence
- crossover operator
- evolutionary computation
- evolutionary programming
- optimization problems
- fitness function
- multi objective optimization
- genetic operators
- genetic algorithm
- simulated annealing
- nsga ii
- differential evolution algorithm
- genetic programming
- crossover and mutation
- population diversity
- evolutionary artificial neural networks
- neural network
- evolution strategy
- global optimization
- particle swarm optimization pso
- evolutionary process
- evolutionary strategy
- multiscale
- crossover and mutation operators