Marine Predators Algorithm (MPA) is a nature-inspired optimization algorithm that follows the rules that naturally govern in optimal foraging strategy and encounters rate policy between predator and prey in marine ecosystems.
MPA optimization process is divided into three main phases of optimization considering different velocity ratio and at the same time mimicking the entire life of a predator and prey: (1) in high velocity ratio or when prey is moving faster than predator, (2) in unit velocity ratio or when both predator and prey are moving at almost same pace, and (3) in low velocity ratio when predator is moving faster than prey. For each defined phase, a specific period of iteration is specified and assigned. These steps are defined based on the rules governed on the nature of predator and prey movement while mimicking the movement of predator and prey in nature. To read more, please refer to the published paper on this algorithm.