Unmanned Aerial Vehicles (UAVs) are increasingly being used in many challenging and
diversified applications. These applications belong to the civilian and the military fields. To …

An intractable but common problem in photovoltaic systems is that the power generated by
photovoltaic will reduce seriously due to partial shading. In order to solve this problem, the …

Autonomous navigation is significant to UAVs, especially in disaster scenarios. A Hybrid
GWO and Differential Evolution (HGWODE) algorithm is developed to solve UAV path …

In this study, we introduce the pied kingfisher optimizer (PKO), a novel swarm-based meta-
heuristic algorithm that draws inspiration from the distinctive hunting behavior and symbiotic …

In this article, an improved variant of the grey wolf optimizer (GWO) named gaze cues
learning-based grey wolf optimizer (GGWO) is proposed. The main intentions are to reduce …

Although they are among the most researched real world engineering design problems, it is
encountered with significant problems in the optimization of structural truss bar problems …

Grey wolf optimizer is a novel swarm intelligent algorithm. It has received lots of interest from
the heuristic algorithm community for its superior optimization capacity and few parameters …

The grey wolf optimizer (GWO) is an effective meta-heuristic algorithm. However, since the
update of the search agent's position often depends on the alpha wolf, it is easy to fall into a …

Breast cancer is one of the most common reasons for the premature death of women
worldwide. However, early detection and diagnosis of the same can save many lives …

This paper presents a new metaheuristic algorithm by enhancing one of the recently
proposed optimizers named Aquila optimizer (AO). The enhanced AO (enAO) algorithm is …