Optimal Interaction of Mutation and Crossover in the Breeder Genetic Algorithm.
Heinz MühlenbeinDirk Schlierkamp-VoosenPublished in: ICGA (1993)
Keyphrases
- genetic algorithm
- mutation probability
- evolutionary algorithm
- mutation operator
- fitness function
- crossover operator
- genetic algorithm ga
- differential evolution
- genetic operators
- crossover and mutation
- population size
- optimal parameters
- genetic programming
- optimization method
- human computer interaction
- artificial neural networks
- function optimization problems
- simulated annealing
- real coded
- fuzzy logic
- user interaction
- neural network
- evolutionary computation
- selection strategy
- candidate solutions
- dynamic programming
- premature convergence
- genetic algorithm is employed
- mutation operation
- function optimization
- tabu search
- multi objective optimization
- worst case
- optimization problems
- reinforcement learning
- hybrid algorithm
- messy genetic algorithm