Module genetic_algorithm::mutate

The mutation strategy, very important for avoiding local optimum lock-in. But don’t overdo it, as it degenerates the population too much if overused. Use a mutation probability generally between 5% and 20%.

Structs

• MutateDynamicOnce
  Selects Chromosomes in the Population with the provided mutation_probability. Then mutates the selected chromosomes once using random mutation. The mutation probability is dynamically increased or decreased to achieve a target population uniformity
• MutateDynamicRounds
  Selects Chromosomes in the Population with the provided mutation_probability. Repeatedly (number of rounds) mutates the selected chromosomes once using random mutation. The number of rounds is dynamically increased or decreased to achieve a target population uniformity
• MutateOnce
  Selects Chromosomes in the Population with the provided mutation_probability. Then mutates the selected chromosomes once using random mutation.
• MutateTwice
  Selects Chromosomes in the Population with the provided mutation_probability. Then mutates the selected chromosomes twice using random mutation. Useful when a single mutation would generally not lead to improvement, because the problem space behaves more like a UniqueGenotype where genes must be swapped (but the UniqueGenotype doesn’t map to the problem space well)

Enums

• MutateWrapper

Traits

• Mutate