Coevolutionary Algorithms

Coevolutionary algorithms are a type of computational method where multiple solutions, or "agents," evolve together by competing or collaborating. Each agent adapts based on interactions with the others, similar to how species evolve in nature through mutual influence. This process helps find strong solutions to complex problems, especially those involving multiple objectives or strategies, by continuously improving and adjusting through repeated cycles. Essentially, coevolution drives a dynamic environment where solutions co-adapt, leading to more robust and innovative results than traditional optimization methods.