Whale swarm algorithm for function optimization
This is an incremental improvement for researchers in optimization algorithms, offering a new variant for solving real-world problems.
The paper tackled function optimization by proposing the Whale Swarm Algorithm, a nature-inspired metaheuristic based on whale ultrasound communication, and found it to have competitive performance compared to other algorithms, though no specific numerical results were provided.
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.