TY  - JOUR
AU  - Peñacoba-Yagüe, Mario
AU  - Sierra-García, Jesús Enrique
AU  - Santos Peñas, Matilde
AU  - Mariolis, Ioannis
PY  - 2023
DO  - 10.3390/app132011182
UR  - https://hdl.handle.net/20.500.14352/111082
T2  - Applied Sciences
AB  - This paper presents an innovative approach to optimize the trajectories of a robotic surveillance system, employing three different optimization methods: genetic algorithm (GA), particle swarm optimization (PSO), and pattern search (PS). The research...
LA  - eng
M2  - 11182
PB  - Mdpi
KW  - Robotics
KW  - Surveillance
KW  - Inspection
KW  - Optimization
KW  - Genetic algorithm
KW  - Particle swarm
KW  - Pattern search
TI  - Path Optimization Using Metaheuristic Techniques for a Surveillance Robot
TY  - journal article
VL  - 13
ER  -