Effects of population size on the performance of genetic algorithms and the role of crossover.
Yu-an ZhangQinglian MaMakoto SakamotoHiroshi FurutaniPublished in: Artif. Life Robotics (2010)
Keyphrases
- population size
- genetic algorithm
- mutation rate
- initial population
- island model
- evolutionary algorithm
- parameter settings
- mutation operator
- genetic algorithm ga
- fitness function
- crossover and mutation
- optimization method
- genetic operators
- metaheuristic
- simulated annealing
- evolutionary computation
- differential evolution
- fuzzy logic
- particle swarm optimization
- multi objective
- genetic programming
- differential evolution algorithm
- crossover operator
- hybrid algorithm
- neural network
- evolution strategy
- ant colony optimization
- markov chain
- maximum likelihood
- evolutionary computing
- genetic search
- multi objective optimization
- mutation probability