Beetle Antenna Search

Beetle Antennae Search (BAS) is a nature-inspired optimization algorithm mimicking the foraging behavior of beetles, used to efficiently find optimal solutions in complex search spaces. Current research focuses on improving BAS's performance, particularly addressing issues like premature convergence and local optima, through modifications such as quadratic or cubic interpolation and integration with other algorithms like Adam, Extended Kalman Filters, and Particle Filters. These advancements are applied to diverse problems, including robot arm calibration, swarm robot coordination in challenging environments, and refining latent factors in high-dimensional data, demonstrating BAS's versatility and potential for significant impact across various engineering and scientific domains.