Using characteristics of the optimisation problem to determine the Genetic Algorithm population size when the number of evaluations is limited.
Matthew S. GibbsHolger R. MaierGraeme C. DandyPublished in: Environ. Model. Softw. (2015)
Keyphrases
- population size
- genetic algorithm
- mutation rate
- parameter settings
- markov chain
- tabu search
- evolutionary computation
- high dimensional
- reinforcement learning
- neural network
- evolutionary algorithm
- multi objective
- simulated annealing
- artificial neural networks
- optimization algorithm
- genetic algorithm ga
- optimization method
- job shop scheduling problem
- genetic operators
- initial population