Larger Offspring Populations Help the (1 + (λ, λlambda)) Genetic Algorithm to Overcome the Noise.
Alexandra IvanovaDenis AntipovBenjamin DoerrPublished in: GECCO (2023)
Keyphrases
- genetic algorithm
- multi population
- fitness function
- crossover operator
- mutation operator
- genetic operators
- initial population
- multi objective
- evolutionary algorithm
- noisy data
- random noise
- noise model
- noise level
- neural network
- evolution process
- evolutionary process
- image noise
- missing data
- memetic algorithm
- noise reduction
- job shop scheduling problem
- additive noise
- signal to noise ratio
- differential evolution
- noisy environments
- metaheuristic
- fuzzy logic
- optimization method
- penalty function
- genetic algorithm ga
- crossover and mutation
- artificial neural networks