Meta‑Heuristic‑Algos

Meta‑Heuristic Algorithms Implementations with Comprehensive Documentation

Introduction

Meta‑heuristics are optimization methods inspired by natural processes, from biological evolution to collective animal behavior. designed to explore complex search spaces efficiently when traditional approaches fail.

Ant Colony Optimization (ACO):

Mimics how ants deposit and follow pheromone trails to collectively discover shortest paths.

Particle Swarm Optimization (PSO):

Models the social behavior of birds flocking or fish schooling, where particles share information to converge on optimal solutions.

Genetic Algorithm (GA):

Inspired by Darwinian evolution, using selection, crossover, and mutation to evolve populations toward fitter solutions.