darwin-rs

The library uses a straightforward trait-based approach where developers only need to implement three main methods (mutate, calculate_fitness, reset) for custom individuals, reducing boilerplate code.

Leverages the jobsteal crate for multi-threaded simulations, allowing efficient use of modern hardware to speed up evolution processes, as shown in the configuration with threads().

Includes ready-to-run implementations for problems like TSP, Sudoku, and OCR, providing concrete starting points and reducing the learning curve for new users.

Enables fine-tuning of evolution through configurable mutation rates, reset limits, and multiple populations with IDs, allowing tailored strategies for different optimization scenarios.