On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms.
Per Kristian LehreXin YaoPublished in: IEEE Trans. Evol. Comput. (2012)
Keyphrases
- evolutionary algorithm
- differential evolution
- multi objective
- fitness function
- optimization problems
- evolutionary computation
- genetic algorithm
- genetic operators
- mutation operator
- multi objective optimization
- crossover and mutation
- genetic programming
- simulated annealing
- crossover operator
- differential evolution algorithm
- evolution strategy
- evolutionary process
- data sets
- evolutionary strategy
- function optimization
- constrained optimization problems
- high impact
- selection strategy
- nsga ii
- genetic algorithm ga
- machine learning
- neural network
- multiobjective optimization
- selection criteria
- selection algorithm
- metaheuristic
- optimization algorithm