This project implements various evolutionary algorithms for optimization tasks.
Evolutionary algorithms are a family of optimization algorithms inspired by the process of natural selection. They are widely used in solving complex optimization problems where traditional methods might struggle.
This project aims to provide a collection of evolutionary algorithms implemented in C using Raylib 5.
- Ant Colony Optimization Algorithm (ACO)
- Simulated Annealing (SA)
- Genetic Algorithm (GA)
- Modular and extensible architecture
- Configurable parameters for algorithms
- Visualization of optimization process