TY  - JOUR
AU  - Perez-Carabaza, Sara
AU  - Besada Portas, Eva
AU  - López Orozco, José Antonio
AU  - Cruz García, Jesús Manuel De La
PY  - 2017
DO  - 10.1016/j.asoc.2017.09.009
SN  - 1568-4946
UR  - https://hdl.handle.net/20.500.14352/94255
T2  - Applied Soft Computing
AB  - This paper presents a new approach based on ant colony optimization (ACO) to determine the trajectories of a fleet of unmanned air vehicles (UAVs) looking for a lost target in the minimum possible time. ACO is especially suitable for the complexity...
LA  - eng
M2  - 789
PB  - Elsevier
KW  - Ant colony optimization
KW  - Probabilistic path planning
KW  - UAVs
KW  - Minimum time search
TI  - Ant colony optimization for multi-UAV minimum time search in uncertain domains
TY  - journal article
VL  - 62
ER  -