In this paper, a new optimization algorithm called Motion-Encoded Genetic Algorithm with
Multiple Parents (MEGA-MPC) is developed to locate moving targets using multiple …

Effectively strategizing the trajectories of multiple Unmanned Aerial Vehicles (UAVs) within a
dynamic environment to optimize the search for and tracking of mobile targets presents a …

Recent advances in technology have led to a surge in interest in unmanned aerial vehicles
(UAVs), which are remote-controlled aircraft that rely on cameras or sensors to gather …

This paper presents a novel algorithm named the motion-encoded particle swarm
optimization (MPSO) for finding a moving target with unmanned aerial vehicles (UAVs) …

Unmanned aerial vehicles (UAVs) searching for a moving target is a complex search
optimization problem that aims to find a path with maximum probability of observing the …

This paper studies the problem of using multiple unmanned air vehicles (UAVs) to search for
moving targets with sensing capabilities. When multiple UAVs (multi-UAV) search for a …

Moving target search is a challenging dynamic path planning problem. In this scenario,
unmanned aerial vehicles endeavor to locate a moving entity based on sensor information …

Many practical, real-world applications have dynamic features. This paper introduces a
novel dynamic optimization problem applied to Unmanned Aerial Vehicle (UAV) search and …

This paper studies the problem of cooperative searching for dynamical moving targets by
multiple unmanned aerial vehicles (UAVs). The environmental information possessed by …

The use of unmanned aerial vehicles (UAVs) is becoming more commonplace in search-
and-rescue tasks, but UAV search planning can be very complex due to limited response …