Module genetic_algorithm::extension

When approacking a (local) optimum in the fitness score, the variation in the population goes down dramatically. This reduces the efficiency, but also has the risk of local optimum lock-in. To increase the variation in the population, an extension mechanisms can optionally be used

Structs

• ExtensionMassDegeneration
  Simulates a cambrian explosion. The controlling metric is fitness score cardinality in the population. When this cardinality drops to the threshold, the population is randomly mutated N number of rounds.
• ExtensionMassExtinction
  Simulates a cambrian explosion. The controlling metric is fitness score cardinality in the population. When this cardinality drops to the threshold, the population is randomly reduced using the survival_rate (fraction of population).
• ExtensionMassGenesis
  A version of MassExtinction, where only an adam and eve of current best chromosomes survive
• ExtensionMassInvasion
  A version of MassExtinction, where the extinct population is replaced by a random population
• ExtensionNoop
  The placeholder for when no extension present

Enums

• ExtensionEvent
• ExtensionWrapper

Traits

• Extension