Speeding Up Evolutionary Algorithms through Asymmetric Mutation Operators.
Benjamin DoerrNils HebbinghausFrank NeumannPublished in: Evol. Comput. (2007)
Keyphrases
- mutation operator
- evolutionary algorithm
- differential evolution
- premature convergence
- crossover operator
- multi objective
- optimization problems
- evolutionary computation
- evolutionary programming
- fitness function
- genetic programming
- genetic operators
- simulated annealing
- genetic algorithm
- population diversity
- evolution strategy
- differential evolution algorithm
- crossover and mutation
- evolutionary process
- evolutionary strategy
- initial population
- multi objective optimization
- particle swarm
- nsga ii
- optimization method
- artificial neural networks