no code implementations • 28 Feb 2024 • Cristian Ramirez-Atencia, Victor Rodriguez-Fernandez, David Camacho
In this work, a DSS consisting of ranking and filtering systems, which order and reduce the optimal solutions, has been designed.
no code implementations • 28 Feb 2024 • Cristian Ramirez-Atencia, Javier Del Ser, David Camacho
The main objective of this work is to reduce the convergence rate of the MOEA solver for multi-UAV mission planning using weighted random strategies that focus the search on potentially better regions of the solution space.
no code implementations • 9 Feb 2024 • Cristian Ramirez-Atencia, David Camacho
Over the last decade, developments in unmanned aerial vehicles (UAVs) has greatly increased, and they are being used in many fields including surveillance, crisis management or automated mission planning.
no code implementations • 9 Feb 2024 • Cristian Ramirez-Atencia, Gema Bello-Orgaz, Maria D R-Moreno, David Camacho
Mission Planning for UAVs is the process of planning the locations and actions (loading/dropping a load, taking videos/pictures, acquiring information) for the vehicles, typically over a time period.
no code implementations • 20 Feb 2020 • Cristian Ramirez-Atencia, Sanaz Mostaghim, David Camacho
Nevertheless, some problems have many objectives which lead to a large number of non-dominated solutions obtained by the optimization algorithms.