Limitations of Existing Mutation Rate Heuristics and How a Rank GA Overcomes Them.
Jorge CervantesChristopher R. StephensPublished in: IEEE Trans. Evol. Comput. (2009)
Keyphrases
- mutation rate
- population size
- evolutionary algorithm
- genetic algorithm
- fitness function
- fitness landscape
- population dynamics
- genetic algorithm ga
- evolutionary computation
- learning rate
- genetic programming
- crossover rate
- markov chain
- search algorithm
- parameter settings
- multi objective optimization
- evolutionary search
- multi objective
- differential evolution
- initial population
- search space
- neural network