Co Evolution

Co-evolution studies the intertwined evolution of interacting systems, aiming to understand how reciprocal selective pressures shape their development and adaptation. Current research focuses on developing and applying co-evolutionary algorithms, including those leveraging large language models and phylogenetic analysis, to optimize diverse systems, from enzyme design and robot-human collaboration to multi-agent communication and structural engineering. These advancements offer improved efficiency and problem-solving capabilities in various fields, while also providing insights into fundamental biological and computational processes.