Yutarop/ga-pixel-art: Generates an animated GIF using a genetic algorithm.

A genetic algorithm implementation that evolves pixel art by attempting to recreate a target image through evolutionary computation.
The program generates an animated GIF showing the evolution process from random noise to the final approximation.

Original Image	Generated GIF

This project uses a genetic algorithm to evolve RGB pixel values for each position in a 100×100 image grid.
Each pixel is represented by a chromosome containing binary genes for red, green, and blue color channels.
Through selection, crossover, and mutation operations, the algorithm iteratively improves the image quality to match a target image.

const IMG_SIZE: usize = 100;           // Image dimensions (100x100)
const POPULATION_SIZE: usize = 6;      // Population size per pixel
const ITERATION: usize = 50;           // Number of generations
const MUTATION_RATE: f64 = 0.05;       // Bit-flip mutation probability
const CROSSOVER_RATE: f64 = 0.8;       // Crossover probability
const GENE_LENGTH: usize = 8;          // Bits per color channel
const RGB_CHANNELS: usize = 3;         // Red, Green, Blue channels
const TOURNAMENT_SIZE: usize = 3;      // Tournament selection size
const ELITE_SIZE: usize = 2;           // Number of elite individuals preserved

Add these dependencies to your Cargo.toml:

[dependencies]
image = "0.24"
rand = "0.8"
gif = "0.12"

# Place a target image named target.png in the project directory.
cargo run

• result.png: Final evolved image
• result.gif: Animated evolution process
• target_sample.png: Copy of the target image used

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