Evolutionary Algorithms

Evolutionary algorithms are a type of problem-solving method inspired by natural selection. They start with a diverse group of potential solutions, called a population. These solutions are evaluated based on how well they solve the problem. The best ones are selected and combined—sometimes with random changes—to create a new generation of solutions. Over many generations, this process favors better solutions, gradually improving the chances of finding an optimal or near-optimal answer. They are useful for complex problems where traditional methods struggle, leveraging iterative improvement inspired by biological evolution.