TY  - GEN 
AU  - Escobar Pérez, Juan José
AU  - Sánchez-Cuevas, Pablo
AU  - Prieto Campos, Beatriz
AU  - Savran Kiziltepe, Rukiye
AU  - Díaz-del-Río, Fernando
AU  - Kimovski, Dragi
PY  - 2025
UR  - https://hdl.handle.net/10481/103794
AB  - Time and energy efficiency is a highly relevant objective in high-performance computing systems, with high costs for executing the tasks. Among these tasks, evolutionary algorithms are of consideration due to their inherent parallel scalability and...
LA  - eng
PB  - Elsevier
KW  - Energy-time Modelling
KW  - Heterogeneous Clusters
KW  - Distributed Computing
KW  - Parameter Optimisation
KW  - Task Scheduling
KW  - Genetic Algorithms
TI  - Energy-time Modelling of Distributed Multi-population Genetic Algorithms with Dynamic Workload in HPC Clusters
DO  - 10.1016/j.future.2025.107753
ER  -