Genetic Algorithm is a type of optimization algorithm inspired by the process of natural evolution. It solves problems by generating a population of possible solutions and improving them through selection, crossover, and mutation.
A genetic algorithm can optimize a delivery route by simulating different paths and evolving the best one over multiple iterations.
It’s commonly used for solving complex problems where traditional methods are inefficient.