Bio inspired algorithms are computational techniques that mimic the principles and strategies found in biological systems to solve complex problems. These algorithms draw inspiration from nature, such as the behavior of ants, bees, birds, and genetic evolution, to develop efficient and robust solutions. They are particularly useful in optimization and search problems where traditional methods may fall short.
