Effects of Population Size and Mutation Rate on Results of Genetic Algorithm.
Yu-an ZhangMakoto SakamotoHiroshi FurutaniPublished in: ICNC (1) (2008)
Keyphrases
- population size
- mutation rate
- genetic algorithm
- fitness function
- evolutionary algorithm
- parameter settings
- markov chain
- crossover rate
- simulated annealing
- artificial neural networks
- fitness landscape
- initial population
- genetic operators
- crossover operator
- optimization method
- differential evolution
- evolutionary computation
- metaheuristic
- genetic programming
- fuzzy logic
- multi objective
- genetic algorithm ga
- particle swarm optimization