Feb 9, 2021 · In this paper, based on a 3D terrain environment represented by triangular mesh data, a many-objective optimization model for the deployment of multiple ...
In this paper, based on a 3D terrain environment represented by triangular mesh data, a many-objective optimization model for the deployment of multiple onboard ...
Based on a 3D terrain environment represented by triangular mesh data, a many-objective optimization model for the deployment of multiple onboard cameras is ...
2019, J. Parallel Distributed Comput. DLEA: A dynamic learning evolution algorithm for many-objective optimization.
In this paper, the deployment problem has been modelled as a constrained many-objective optimisation problem. ... A comparative study was carried out and the ...
This research proposes an optimized UAV deployment and data routing approach, addressing energy use, coverage, and communication delays. The study guarantees ...
Mar 3, 2024 · To this end, we first formulate a UAV-assisted data collection multi-objective optimization problem (UDCMOP) to efficiently collect the data ...
Missing: Camera | Show results with:Camera
Therefore, in this article, we study a wireless communication network using a UAV as a high-altitude relay, and formulate a UAV relay deployment optimization ...
Missing: Drone- Camera
Oct 22, 2024 · This paper investigates user scheduling and trajectory optimization for a network supported by an intelligent reflecting surface (IRS) mounted ...
Missing: Camera | Show results with:Camera
Jun 14, 2024 · The objectives are to improve convergence rates, maintain solution diversity, and achieve a uniform distribution in the objective space. MaOAHA ...