GA, short for Genetic Algorithm, is a computational technique inspired by the process of natural selection. It is used to solve optimization and search problems by mimicking the principles of evolution, such as selection, crossover, and mutation. GA involves generating a population of potential solutions and iteratively improving them over generations to find the best solution to a given problem.