RT Journal Article
T1 Migrants Selection and Replacement in Distributed Evolutionary Algorithms for Dynamic Optimization
A1 Bravo Garcia, Yesnier
A1 Luque-Polo, Gabriel Jesús
A1 Alba-Torres, Enrique
K1 Algoritmos genéticos
AB Many distributed systems (task scheduling, moving priorities, changing mobile environments, ...) can be linked as Dynamic Optimization Problems (DOPs), since they require to pursue an optimal value that changes over time. Consequently, we have focused on the utilization of Distributed Genetic Algorithms (dGAs), one of the domains still to be investigated for DOPs. A dGA essentially decentralizes the population in islands which cooperate through migrations of individuals. In this article, we analyze the effect of the migrants selection and replacement on the performance of the dGA for DOPs. Quality and distance based criteria are tested using a comprehensive set of benchmarks. Results show the benefits and drawbacks of each setting in dynamic optimization.
PB Springer
YR 2013
FD 2013
LK http://hdl.handle.net/10630/5614
UL http://hdl.handle.net/10630/5614
LA eng
NO Yesnier Bravo, Gabriel Luque, Enrique Alba, Migrants Selection and Replacement in Distributed Evolutionary Algorithms for Dynamic Optimization,  Distributed Computing and Artificial Intelligence Advances in Intelligent Systems and Computing Volume 217, 2013, pp 155-162, Salamanca, Spain
NO Universidad de Málaga. Proyecto roadME (TIN2011-28194). Programa de movilidad de la AUIP.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026