GEP.TimeStep
Description
Code representing a single step of the GEP algorithm resides here.
single step of fitness evaluation, selection and reproduction to make a new population
process includes:
- expression of individuals
- fitness evaluation
- filtration to eliminate individuals yielding impossible fitness values (infinite or NaN)
- preservation of best individual
- generation of roulette selection weights
- roulette selection of individuals
- perform mutation operator
- IS transposition
- RIS transposition
- Gene transposition
- 1Pt recombination
- 2Pt recombination
- Gene recombination
Author: mjsottile@computer.org
Documentation
Arguments
| :: [Chromosome] | List of individuals |
| -> Genome | Genome |
| -> SimParams | Simulation parameters |
| -> Rates | Gene operator rates |
| -> ExpressionFunction a | Expression function |
| -> FitnessFunction a b | Fitness function |
| -> TestDict b | Fitness inputs |
| -> TestOuts | Fitness outputs |
| -> Int | Maximum number of generations to test |
| -> Double | Ideal fitness |
| -> GEPMonad (Double, [Chromosome]) |