Co-evolutionary Algorithms - Dynamics and Applications

Abstract

Co-evolutionary algorithms (CEAs) are a class of evolutionary algorithms where multiple populations evolve concurrently, influencing each other's evolution. This paper provides a comprehensive review of the dynamics and applications of CEAs, focusing on their ability to solve complex problems through the interaction of multiple populations. The paper discusses the underlying principles of CEAs, including fitness evaluation, selection mechanisms, and population dynamics. It also examines various application domains where CEAs have been successfully applied, such as optimization, game playing, and evolutionary robotics. The paper concludes with a discussion on the future directions and challenges in the field of co- evolutionary algorithms.