View Source Geneticx (Generticx v0.1.1)

Documentation for Geneticx.

Summary

Functions

crossover(population, opts \\ [])

Crossover to generate the children

evaluate(population, fitness_function)

Evaluate the population with the fitness function

evolve(population, fitness_function, genotype, max_fitness, opts \\ [])

The core algorithm

hello()

Hello world.

initialize(genotype, opts \\ [])

Initialize the population with genotype

mutation(population, opts \\ [])

Mutate the children randomly

run(fitness_function, genotype, max_fitness, opts \\ [])

Run the genetic algorithm

select(population, opts \\ [])

Select the parents for the next generation

Functions

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crossover(population, opts \\ [])

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Crossover to generate the children

Link to this function

evaluate(population, fitness_function)

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Evaluate the population with the fitness function

Link to this function

evolve(population, fitness_function, genotype, max_fitness, opts \\ [])

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The core algorithm

Link to this function

hello()

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Hello world.

Examples 

iex> Geneticx.hello()
:world
Link to this function

initialize(genotype, opts \\ [])

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Initialize the population with genotype

Link to this function

mutation(population, opts \\ [])

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Mutate the children randomly

Link to this function

run(fitness_function, genotype, max_fitness, opts \\ [])

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Run the genetic algorithm

Link to this function

select(population, opts \\ [])

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Select the parents for the next generation