Today, many metaheuristics algorithms have been developed are inspired by the physical
phenomena or behaviors of natural creatures that are very effective in solving complex …

Collision-free distributed path planning for the swarm of unmanned aerial vehicles (UAVs) in
a stochastic and dynamic environment is an emerging and challenging subject for research …

The use of the unmanned aerial vehicle (UAV) has been regarded as a promising technique
in both military and civilian applications. However, due to the lack of relevant laws and …

In wireless sensor network (WSN), limited energy resources with the nodes is a complex
challenge as far as data routing, collecting and aggregating the data is concerned as all …

The vibration signals obtained from the bearings are associated with nonlinear and
nonstationary characteristics, which hinder the fault identification of the bearing. A scheme of …

In this article, a synergy of Enhanced Heuristic Descent Gradient (EHDG) algorithm and
Voronoi diagram is applied for the optimal planning of electrical Fast Charging Stations …

The present work focuses on the optimal path planning of humanoid robots in a rugged
terrain using a hybrid-based improved gravitational search algorithm (IGSA) tuned with a …

Niching in global optimisation refers to a set of techniques designed to identify multiple
optimal solutions within a nonlinear, multimodal landscape. These algorithms enhance the …

These days, imbalanced datasets, denoted throughout the paper by ID,(a dataset that
contains some (usually two) classes where one contains considerably smaller number of …

This paper presents detection and classification of islanding and non-islanding disturbances
in a PV based microgrid scenario. To design effective pattern recognition the microgrid is …