class BStringGA(uint length, uint PopSize, alias fitness, alias generator, alias selector = topPar!(to!uint(PopSize * 0.1)), alias crossover = singlePoint, alias mutator = randomFlip, alias comp = "a > b"): SimpleGA!(BitSet!length, PopSize, comp, fitness, generator, selector, crossover, mutator);
- Parameters
length Fixed size of the binary string. PopSize The size of the population fitness User defined fitness function. Must return double selector Selection method used to pick parents of next generation. crossover Used to crossover individuals to create the new generation. mutator Used to alter the population. comp Used to determine whether a larger or smaller fitness is better.
Genetic algorithm for genomes taking the form of binary strings.
this();
Default constructor. No statistics will be printed, and mutation will be set at 1%, crossover rate at 80%
this(float mutRate, float crossoverRate, uint statFreq);
Convienience constructor, equivilant to default constructing and setting mutation rate and statistic frequency