Nature Inspired

Nature-inspired computation leverages biological processes to solve complex optimization problems across diverse fields. Current research focuses on developing and refining metaheuristic algorithms, such as those mimicking bat echolocation, frog-snake predation, cardiac conduction, and snail behavior, to improve solution quality and efficiency for tasks like feature selection, routing problems, and parameter estimation. These algorithms demonstrate significant potential for enhancing existing methods in various domains, including biomedical image processing, engineering design, and logistics, by offering faster and more accurate solutions to computationally challenging problems. The ongoing development and application of these nature-inspired approaches are driving advancements in optimization techniques and their practical deployment.