John Holland (Genetic Algorithms)

John Holland’s concept of Genetic Algorithms is a method inspired by natural evolution to solve complex problems. It starts with a set of potential solutions ("individuals") that are evaluated for how well they solve the problem ("fitness"). The best solutions are combined and slightly modified ("crossover" and "mutation") to create new solutions. Over many generations, this process improves the solutions, much like natural selection. This technique is useful in optimization tasks where traditional methods struggle, helping find good solutions efficiently by mimicking the evolutionary process.