Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

Random walks are ubiquitous in the sciences, and they are interesting from both theoretical
and practical perspectives. They are one of the most fundamental types of stochastic …

This study proposes a novel population-based metaheuristic algorithm called the Gazelle
Optimization Algorithm (GOA), inspired by the gazelles' survival ability in their predator …

This paper presents a nature-inspired metaheuristic called Marine Predators Algorithm
(MPA) and its application in engineering. The main inspiration of MPA is the widespread …

The first powerful variant of the Harris hawks optimization (HHO) is proposed in this work.
HHO is a recently developed swarm-based stochastic algorithm that has previously shown …

In this paper, a novel population-based, nature-inspired optimization paradigm is proposed,
which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the …

In today's world, diabetic retinopathy is a very severe health issue, which is affecting many
humans of different age groups. Due to the high levels of blood sugar, the minuscule blood …

BACKGROUND Global aquatic environments are changing profoundly as a result of human
actions; consequently, so too are the ways in which organisms are distributing themselves …

The grey wolf optimizer (GWO) is a new efficient population-based optimizer. The GWO
algorithm can reveal an efficient performance compared to other well-established …

Metaheuristic algorithms are becoming powerful methods for solving continuous global
optimization and engineering problems due to their flexible implementation on the given …