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CHANGELOG.md

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[Unreleased]

Added

Changed

Fixed

Removed

[0.2.0]

Added

  • [Documentation] - Each example now has a README file with a description of the problem and the solution

Changed

  • [Configuration] - All _callback methods in Configuration can now be nil (i.e., optional)
  • [Configuration] - Renamed Configuration#next_generation_callback to Configuration#generation_start_callback

Removed

  • [Configuration] - Removed Configuration#target_genes
  • [API] - Member#fitness_function method is not exposed publicly anymore

[0.1.1] - 2023-07-26

Added

  • Added Configuration class for customizing the parameters of the evolutionary algorithm.
  • Added Member class to represent an individual in the population.
  • Added Metadata class to keep track of the evolution process.
  • Added World class to run the evolutionary algorithm.
  • Initial implementation of evolutionary algorithm operations, including selection, crossover, and mutation.
  • Added fitness function support for evaluating the quality of individuals in the population.
  • Added callback functions for various events in the evolution process, including when a new highest fitness is found, when the maximum number of generations is reached, and when the end condition is met.
  • Included an example of using the library to solve a simple genetic algorithm problem (lazy dog example).
  • Included an example of using the library to solve the Traveling Salesperson Problem (salesperson example).