Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates.
Anna RodionovaKirill AntonovArina BuzdalovaCarola DoerrPublished in: GECCO (2019)
Keyphrases
- population size
- initial population
- evolutionary algorithm
- mutation rate
- differential evolution algorithm
- fitness function
- genetic algorithm
- differential evolution
- mutation operator
- genetic operators
- evolutionary computation
- crossover operator
- optimization problems
- multi objective
- genetic algorithm ga
- island model
- multi objective optimization
- simulated annealing
- hybrid algorithm
- genetic programming
- crossover and mutation
- memetic algorithm
- parameter settings
- fitness landscape
- nsga ii
- premature convergence
- wider range
- optimization algorithm
- scale factor
- optimal solution
- neural network