The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …

A recently developed swarm-based meta-heuristic algorithm namely Grey Wolf Optimization
algorithm (GWO), which is based on the hunting and leadership behaviours of the grey …

This paper discusses a hybrid grey wolf optimizer utilizing a clone selection algorithm
(pGWO-CSA) to overcome the disadvantages of a standard grey wolf optimizer (GWO), such …

Nature-inspired algorithms (NIA) are proven to be the potential tool for solving intricate
optimization problems and aid in the development of better computational techniques. In …

This paper proposes a unique method for estimating three-diode photovoltaic (PV) model
parameters that uses an enhanced Newton–Raphson (NR) method and the selective …

Diabetes mellitus (DM) is a global health problem that results in different conditions, and one
of the most problematic is diabetic retinopathy (DR), as it may have no symptoms in its early …

Diabetic disease classification requires a precise understanding of the clinical inputs and
their intensity as observed through different stages. Automated and machine‐centric …

The permutation flow shop scheduling problem, as a classical problem in the scheduling
field, is an NP‐hard problem. However, most of the reported algorithms are difficult to …

In this study, a decision support system for bladder inflammation prediction is presented. The
proposed decision support system is built by establishing a hybrid architecture with Gray …

Diabetes is a disorder that has a significant impact on world health. In order to properly treat
the illness and avoid complications, early identification is crucial. This paper presents a …