This study introduces a novel approach for integrating a compact mechanism into the Marine
Predator Algorithm (MPA), subsequently proposing innovative parallel and communication …

The input layer, hidden layer, and output layer are three models of the neural processors
that make up feedforward neural networks (FNNs). Evolutionary algorithms have been …

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

Abstract The Marine Predators Algorithm (MPA) is a prominent Nature-Inspired Optimization
Algorithm (NIOA) that has garnered significant research interest due to its effectiveness. It …

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 …

The marine predators algorithm (MPA) is a metaheuristic algorithm for solving optimization
problems. MPA divides the whole optimization process into three phases evenly, and each …

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 marine predators algorithm (MPA) is a novel population‐based optimization method that
has been widely used in real‐world optimization applications. However, MPA can easily fall …

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 …

In engineering design optimization problems, the optimal solution can improve the design
quality of complex engineering system and reduce a lot of cost consumption, so it is of great …