This paper proposes a novel optimization algorithm, called Emperor Penguin Optimizer
(EPO), which mimics the huddling behavior of emperor penguins (Aptenodytes forsteri). The …

JADE is a differential evolution (DE) algorithm and has been shown to be very competitive in
comparison with other evolutionary optimization algorithms. However, it suffers from the …

Feature selection (FS) is a critical step in data mining, and machine learning algorithms play
a crucial role in algorithms performance. It reduces the processing time and accuracy of the …

Meta-heuristics are problem-independent optimization techniques which provide an optimal
solution by exploring and exploiting the entire search space iteratively. These techniques …

Abstract The Vortex Search Algorithm (VSA) is a meta-heuristic algorithm that has been
inspired by the vortex phenomenon proposed by Dogan and Olmez in 2015. Like other meta …

Research on dendrites has been conducted for decades, providing valuable information for
the development of dendritic computation. Creating an ideal neuron model is crucial for …

To cope with the potential shortcomings of classical fruit fly optimization algorithm (FOA), a
new version of FOA with Gaussian mutation operator and the chaotic local search strategy …

Abstract Farmland Fertility Algorithm (FFA) is a recent nature-inspired metaheuristic
algorithm for solving optimization problems. Nevertheless, FFA has some drawbacks: slow …

Abstract Harris Hawks Optimizer (HHO) is one of the many recent algorithms in the field of
metaheuristics. The HHO algorithm mimics the cooperative behavior of Harris Hawks and …

It is crucial to develop a smart analytics system capable of accurately diagnosing diabetic
retinopathy. This research uses a new deep transfer network framework to diagnose …