RT info:eu-repo/semantics/article T1 Particle swarm optimization for outdoor lighting design A1 Castillo Martínez, Ana A1 Almagro Clemente, José Ramón A1 Gutiérrez Escolar, Alberto A1 Corte Valiente, Antonio del A1 Castillo Sequera, José Luis A1 Gómez Pulido, José Manuel A1 Gutiérrez Martínez, José María K1 Energy efficiency K1 Lighting design K1 Lighting optimization K1 Particle Swarm Optimization (PSO) K1 Informática K1 Computer science AB Outdoor lighting is an essential service for modern life. However, the high influence of this type of facility on energy consumption makes it necessary to take extra care in the design phase. Therefore, this manuscript describes an algorithm to help light designers to get, in an easy way, the best configuration parameters and to improve energy efficiency, while ensuring a minimum level of overall uniformity. To make this possible, we used a particle swarm optimization (PSO) algorithm. These algorithms are well established, and are simple and effective to solve optimization problems. To take into account the most influential parameters on lighting and energy efficiency, 500 simulations were performed using DIALux software (4.10.0.2, DIAL, Ludenscheid, Germany). Next, the relation between these parameters was studied using to data mining software. Subsequently, we conducted two experiments for setting parameters that enabled the best configuration algorithm in order to improve efficiency in the proposed process optimization. PB MDPI SN 1996-1073 YR 2017 FD 2017-01-23 LK http://hdl.handle.net/10017/43734 UL http://hdl.handle.net/10017/43734 LA eng DS MINDS@UW RD 29-mar-2024