A simple example of evolving text towards a target string.
This example demonstrates how to use Jido.Evolve to evolve a string towards the target "Hello, world!" using random mutations and tournament selection with adaptive mutation rates.
Summary
Functions
Default implementation of batch_evaluate/2 that delegates to shared implementation.
Run a quick demo that prints progress.
Fitness function that measures similarity to the target string.
Run the hello world evolution example.
Functions
Default implementation of batch_evaluate/2 that delegates to shared implementation.
Raises on invalid fitness results. Override to customize error handling.
Run a quick demo that prints progress.
Fitness function that measures similarity to the target string.
Higher scores indicate better fitness (closer to target).
Run the hello world evolution example.
Options
:population_size- Size of the population (default: 100):generations- Maximum generations (default: 300):mutation_rate- Mutation rate (default: 0.3):crossover_rate- Crossover rate (default: 0.8):elitism_rate- Elitism rate (default: 0.02):target_fitness- Stop when fitness reaches this value (default: 0.99):seed- Initial population (default: 100 random strings):verbose- Print progress (default: false)
Examples
# Run with defaults
Jido.Evolve.Examples.HelloWorld.run()
# Run with custom settings
Jido.Evolve.Examples.HelloWorld.run(
population_size: 50,
mutation_rate: 0.6,
verbose: true
)