ABSTRACT
Bat optimization is a metaheuristic algorithm inspired by micro-bats used for global optimization. The algorithm is based on the echolocation of micro-bats and was developed in 2010. Gray wolf optimization is a bioinspired algorithm based on the hierarchy and hunting mechanisms of gray wolves. A particular type of algorithm that focuses on how species interact, especially how birds act to find food, is particle swarm optimization (PSO). For example, when a bird finds food, other birds approach to that location. In this transition, if a bird finds a better source of food, then other birds tend to move to that location. This process repeats over and over until birds tend to move to the location with the best source of food. Resembling this movement, PSO starts with a population of particles that change their location following the location of the best particle and their own, so far, best location.
