Bio-inspired algorithms

Bio-inspired algorithms are computational methods developed by observing and mimicking natural processes and behaviors found in animals, plants, and ecosystems. These algorithms harness strategies like the way ants find shortest paths, bird flocking for coordinated movement, or genetic reproduction to solve complex problems efficiently. They are used in areas such as optimization, scheduling, and machine learning, offering flexible and robust solutions inspired by nature's resilience and adaptability. Essentially, these algorithms translate biological insights into powerful tools for solving challenging computational tasks.