RT info:eu-repo/semantics/bookPart
T1 Improvement strategies for multi-swarm PSO in dynamic environments
A1 Novoa Hernández, Pavel
A1 Pelta, David A.
A1 Cruz Corona, Carlos
A2 Ingeniería Informática y de Sistemas
AB Many real world optimization problems are dynamic, meaning that their optimal solutions are time-varying. In recent years, an effective approach to address these problemshas beenthe multi-swarmPSO (mPSO).Despitethis, webelievethat there is still room for improvement and, in this contribution we propose two simple strategies to increase the effectiveness of mPSO. The first one faces the diversity loss in the swarm after an environment change; while the second one increases the efficiency through stopping swarms showing a bad behavior. From the experiments performed on the Moving Peaks Benchmark, we have confirmed the benefits of our strategies.
YR 2010
FD 2010
LK http://riull.ull.es/xmlui/handle/915/41304
UL http://riull.ull.es/xmlui/handle/915/41304
LA en
DS Repositorio institucional de la Universidad de La Laguna
RD 26-abr-2025