TY - GEN
T1 - Particle swarm and population structure
AU - Rosa, Agostinho C.
AU - Fachada, Nuno
AU - Laredo, Juan L. J.
AU - Merelo, J. J.
AU - Fernandes, Carlos Miguel da Costa
N1 - GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion
PY - 2018/7/6
Y1 - 2018/7/6
N2 - We investigate the convergence speed, accuracy, robustness and scalability of PSOs structured by regular and random graphs with 3 ≤ k ≤ n. The main conclusion is that regular and random graphs with the same averaged connectivity k may result in significantly different performance, namely when k is low.
AB - We investigate the convergence speed, accuracy, robustness and scalability of PSOs structured by regular and random graphs with 3 ≤ k ≤ n. The main conclusion is that regular and random graphs with the same averaged connectivity k may result in significantly different performance, namely when k is low.
KW - POPULAÇÃO
KW - OTIMIZAÇÃO POR ENXAME DE PARTÍCULAS
KW - PARTICLE SWARM OPTIMIZATION
KW - POPULATION
UR - http://hdl.handle.net/10437/10192
UR - http://www.scopus.com/inward/record.url?scp=85051472933&partnerID=8YFLogxK
U2 - 10.1145/3205651.3205779
DO - 10.1145/3205651.3205779
M3 - Conference contribution
T3 - GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
SP - 85
EP - 86
BT - GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
PB - Association for Computing Machinery, Inc
T2 - 2018 Genetic and Evolutionary Computation Conference, GECCO 2018
Y2 - 15 July 2018 through 19 July 2018
ER -