Modules
A multi-representation genetic algorithm library.
A chromosome whose genes are bits (0 or 1).
A chromosome whose genes are a permutation of integers, e.g. a TSP tour. Validity requires every gene to be an integer with no duplicates.
A chromosome whose genes are real-valued floats with per-gene bounds.
Typed config validation for Petri.run/2.
Crossover operators for binary chromosomes.
Crossover operators for permutation chromosomes.
Crossover operators for real-valued chromosomes.
The generational genetic algorithm engine.
Random initialization per chromosome representation.
Mutation operators for binary chromosomes.
Mutation operators for permutation chromosomes.
Mutation operators for real-valued chromosomes.
Dispatches configuration atoms to concrete binary operators.
Dispatches configuration atoms to concrete permutation operators.
Dispatches configuration atoms to concrete real-valued operators.
Seeding policy for Petri's stochastic operators.
Records per-generation statistics from a population.
The return value of Petri.run/2.
Representation-agnostic parent selection.
Internal engine state tracked across generations.
Stop conditions for the generational loop.