Some algorithms have been developed in heuristic optimization area inspired by swarm behaviour in nature which are the most popular optimization problems. In this paper, a theory for subgroups of Velella are introduced and a new biologically-inspired optimization algorithm is proposed based on subgroups behaviour of the individual Velella in colonies. Our proposed method is compared with some of the state-of-the-art heuristic optimization algorithms. Finally, performance and results of the proposed method is prepared for solving various benchmark functions. Obtained results prove that our method can solve same problems significantly better than the others.