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

Abstract Marine Predators Algorithm (MPA) is the existing population-based meta-heuristic
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …

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

Naturally, to analyze an image accurately, all the similar objects within it should be
separated to pay attention to the most important object for reaching more details and hence …

Marine predator algorithm (MPA) is a powerful metaheuristic optimization algorithm that
shows effective convergence ability on complex benchmark functions. The combination of …

Abstract The Marine Predators Algorithm (MPA) is a swarm intelligence algorithm developed
based on the foraging behavior of the ocean's predators. This algorithm has drawbacks …

The paper proposes a method for improving the accuracy of image classification by
combining CNNs and the Binary Marine Predators Algorithm (BMPA). The CNNs used in the …

With the discovery of new DNAs, a fundamental problem arising is how to categorize those
DNA sequences into correct species. Unfortunately, identifying all data groups correctly and …

Clustering arranges the data objects into clusters and similar data objects put into same
cluster. There is not a single algorithm that can work effectively with all types of clustering …

Spread spectrum linked to optimization techniques play a very important role in today's
world. Optimization gives the best one among all the solutions and the spread spectrum is …