Reduction of Energy Consumption in Embedded Systems: A Hybrid Evolutionary Algorithm - INRIA - Institut National de Recherche en Informatique et en Automatique Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

Reduction of Energy Consumption in Embedded Systems: A Hybrid Evolutionary Algorithm

Résumé

In this paper, we propose a new hybrid evolutionary algorithm based on Particle Swarm Optimization (PSO) and on Simulated Annealing (SA) for reducing memory energy consumption in embedded systems. Our hybrid algorithm outperforms the Tabu Search (TS) approach. In fact, nearly from 76% up to 98% less energy consumption is recorded.
Fichier non déposé

Dates et versions

inria-00524975 , version 1 (10-10-2010)

Identifiants

  • HAL Id : inria-00524975 , version 1

Citer

Maha Idrissi Aouad, Lhassane Idoumghar, René Schott, Olivier Zendra. Reduction of Energy Consumption in Embedded Systems: A Hybrid Evolutionary Algorithm. META'10 - 3rd International Conference on Metaheuristics and Nature Inspired Computing, Oct 2010, Djerba, Tunisia. ⟨inria-00524975⟩
256 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More