The concept of Algorithm Evolution centers around the iterative improvement and adaptation of algorithms to meet increasingly complex challenges. Techniques like evolutionary computation, genetic programming, and gradient-based optimization have transformed how algorithms handle dynamic environments. This field continues to influence innovations in AI, enabling systems to self-optimize and perform better over time.