Evolutionary Strategies (ES) are optimization algorithms inspired by the process of natural evolution, focusing on the adaptation mechanism to find optimal solutions. They rely on mechanisms such as mutation, selection, and reproduction to evolve solutions over generations, often employed in machine learning and artificial intelligence for continuous optimization problems.