  Increasing nature-inspired metaheuristic algorithms are applied to solving
the real-world optimization problems, as they have some advantages over the
classical methods of numerical optimization. This paper has proposed a new
nature-inspired metaheuristic called Whale Swarm Algorithm for function
optimization, which is inspired by the whales behavior of communicating with
each other via ultrasound for hunting. The proposed Whale Swarm Algorithm has
been compared with several popular metaheuristic algorithms on comprehensive
performance metrics. According to the experimental results, Whale Swarm
Algorithm has a quite competitive performance when compared with other
algorithms.
