Abstract Marine Predators Algorithm (MPA) is a newly nature-inspired meta-heuristic
algorithm, which is proposed based on the Lévy flight and Brownian motion of ocean …

Marine Predators algorithm (MPA) is a newly proposed nature-inspired metaheuristic
algorithm. The main inspiration of this algorithm is based on the extensive foraging …

Abstract Marine Predators Algorithm (MPA) is a recent nature-inspired optimizer stemmed
from widespread foraging mechanisms based on Lévy and Brownian movements in ocean …

The application of metaheuristic algorithms is one of the most promising approaches for
solving real-world problems. The marine predators algorithm (MPA) is a recently proposed …

Marine predators algorithm (MPA) is a recently proposed metaheuristic algorithm that
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …

Abstract The Marine Predators Algorithm (MPA) is a novel hunting-based optimizer. The
MPA's central concept is based on the well-known Lévy Flight (LF) and Brownian Motion …

Marine predators algorithm (MPA) is a newly developed swarm-based meta-heuristic
algorithm that is inspired by the foraging strategies of marine predators: Lévy, Brownian …

Feature selection (FS) is applied to reduce data dimensions while retaining much
information. Many optimization methods have been applied to enhance the efficiency of FS …

Abstract Marine Predators Algorithm (MPA) is a recent efficient metaheuristic algorithm that
is enlightened by the biological behavior of ocean predators and prey. This algorithm …

Marine predators algorithm (MPA) is one of the recently proposed metaheuristic algorithms.
In the MPA, position update mechanisms are implemented, emphasizing global search in …