Benchmarking a $(μ+λ)$ Genetic Algorithm with Configurable Crossover Probability.
Furong YeHao WangCarola DoerrThomas BäckPublished in: CoRR (2020)
Keyphrases
- genetic algorithm
- fitness function
- evolutionary computation
- neural network
- genetic algorithm ga
- multi objective
- genetic operators
- case study
- hybrid genetic algorithm
- data sets
- learning classifier systems
- crossover operator
- optimization method
- tabu search
- particle swarm optimization
- simulated annealing
- fuzzy logic
- evolutionary algorithm
- metaheuristic
- genetic programming
- multi objective optimization
- artificial intelligence
- penalty function
- machine learning