Differential evolution algorithm on the GPU with C-CUDA

2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

Volumn , Issue , 2010, Pages

  Veronese, Lucas De P ^a   Krohling, Renato A ^a  

^a FEDERAL UNIVERSITY OF ESPÍRITO SANTO   (Brazil)

Author keywords

Computational Performance Evaluation; Compute Unified Device Architecture(CUDA) C CUDA platform; Differential Evolution; Graphics Processing Unit (GPU)

Indexed keywords

COMPUTATIONAL PERFORMANCE EVALUATION; COMPUTE UNIFIED DEVICE ARCHITECTURES; COMPUTING TIME; DE ALGORITHMS; DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION ALGORITHMS; GRAPHICS PROCESSING UNIT; OPTIMIZATION PROBLEMS;

ARTIFICIAL INTELLIGENCE; COMPUTER GRAPHICS EQUIPMENT; IMAGE CODING; PROGRAM PROCESSORS;

EVOLUTIONARY ALGORITHMS;

EID: 79959478924     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2010.5586219     Document Type: Conference Paper

References (15)

1. R. Storn and K. Price, Differential Evolution - a simple and efficient adaptive scheme for global optimization over continuous spaces. International Computer Science Institute, Berkeley, TR-95-012, http://www.icsi.berkeley.edu/ ~storn/litera.html, 1995.
2. R. Storn and K. Price, "Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces," Journal of Global Optimization, vol. 11, no. 4, pp. 341-359, 1997.
3. GPGPU homepage http://gpgpu.org.
4. D. Castaño-Díez, D. Moser, A. Schoenegger, S. Pruggnaller, A. S. Frangakis, "Performance evaluation of image processing algorithms on the GPU," Journal of Structural Biology, vol. 164, no.1, pp. 153-160, 2008.
5. NVIDIA homepage http://nvidia.com
6. NVIDIA, CUDA 2.0 Programming Guide, http://developer.download.nvidia.com/ compute/cuda/2-0/docs/NVIDIA-CUDA-Programming-Guide-2.0.pdf.
7. NVIDIA, CUDA-Enabled Products, http://www.nvidia.com/object/cuda-learn- products.html.
8. NVIDIA, get CUDA, http://www.nvidia.com/object/cuda-get.html.
9. NVIDIA, CUDA documentation, http://www.nvidia.com/object/cuda-develop. html.
10. S. Che, M. Boyer, J Meng, D. Tarjan, J. W. Sheaffer, K. Skadron, "A performance study of general-purpose applications on graphics processors using CUDA," Journal of Parallel and Distributed Computing, vol. 68, no. 10,2008, pp. 1370-1380.
11. D. Luebke, CUDA: Scalable parallel programming for high-performance scientific computing, in Proceedings of the 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2008, pp. 836-838, 2008.
12. L.P. Veronese, R.A. Krohling. Swarm's flight: Accelerating the particles using C-CUDA. IEEE Congress on Evolutionary Computation, 2009. CEC '09, pp. 3264-3270, 2009.
13. Y. Zhou; Y. Tan; GPU-based parallel particle swarm optimization. IEEE Congress on Evolutionary Computation, 2009. CEC '09, pp. 1493-1500, 2009.
14. J.-M. Li, X.-J. Wang, R.-S. He; Z.-X. Chi, an efficient fine-grained parallel genetic algorithm based on GPU-accelerated, in IFIP International Conference on Network and Parallel Computing, pp. 855-862, 2007.
15. X. Yao, Y. Liu, G. Lin , "Evolutionary programming using mutations based on Levi probability distribution," IEEE Trans. on Evolutionary Computation, vol. 8, no.1, pp. 1-24, 2004.