K. Li, Performance Analysis of Power-Aware Task Scheduling Algorithms on Multiprocessor Computers with Dynamic Voltage and Speed, IEEE Trans. Parallel Distrib. Syst, vol.19, pp.1484-1497, 2008.

T. D. Braun, H. J. Siegel, N. Beck, L. L. Bölöni, M. Maheswaran et al., A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems, Journal of Parallel and Distributed Computing, vol.61, issue.6, pp.810-837, 2001.
DOI : 10.1006/jpdc.2000.1714

J. Ko?odziej, S. Khan, and A. Zomaya, A Taxonomy of Evolutionary Inspired Solutions for Energy Management in Green Computing: Problems and Resolution Methods, Adv. Intell. Model. Simul, vol.422, pp.215-233, 2012.
DOI : 10.1007/978-3-642-30154-4_10

S. Chen, S. Davis, H. Jiang, and A. Novobilski, CUDA-Based Genetic Algorithm on Traveling Salesman Problem, Computer and Information Science, pp.241-252
DOI : 10.1007/978-3-642-21378-6_19

T. Luong, . Van, N. Melab, and E. Talbi, GPU-based island model for evolutionary algorithms Proceedings of the 12th annual conference on Genetic and evolutionary computation -GECCO '10. p. 1089, 2010.

M. G. Arenas, A. M. Mora, G. Romero, and P. A. Castillo, GPU computation in bioinspired algorithms: a review Advances in Computational Intelligence, pp.433-440, 2011.

S. Zhang and Z. He, Implementation of Parallel Genetic Algorithm Based on 2 Classification of Parallel Genetic Algorithms, 4th Int. Symp. ISICA, pp.24-30, 2009.

X. Fan, W. Weber, and L. A. Barroso, Power provisioning for a warehouse-sized computer, ACM SIGARCH Computer Architecture News, vol.35, issue.2, p.13, 2007.
DOI : 10.1145/1273440.1250665

S. K. Garg, C. S. Yeo, A. Anandasivam, and R. Buyya, Energy-Efficient Scheduling of HPC Applications in Cloud Computing Environments, 2009.

N. Quang-hung, P. D. Nien, N. H. Nam, N. H. Tuong, and N. Thoai, A Genetic Algorithm for Power-Aware Virtual Machine Allocation in Private Cloud, ICT-EurAsia'13, pp.183-191, 2013.
DOI : 10.1007/978-3-642-36818-9_19

URL : https://hal.archives-ouvertes.fr/hal-01480228

N. Quang-hung, N. Thoai, and N. T. Son, EPOBF: Energy Efficient Allocation of Virtual Machines in High Performance Computing Cloud, J. Sci. Technol. Vietnamese Acad. Sci. Technol, vol.51, issue.4B, pp.173-182, 2013.
DOI : 10.1007/978-3-662-45947-8_6