An improved CUDA-based implementation of differential evolution on GPU
Modern GPUs enable widely affordable personal computers to carry out massively parallel computation tasks. NVIDIA's CUDA technology provides a wieldy parallel computing platform. Many state-of-the-art algorithms arising from different fields have been redesigned based on CUDA to achieve computa...
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Main Authors: | Raimondo, Federico, Forbes, Florence, Ong, Yew Soon, Qin, A. K. |
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Other Authors: | School of Computer Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/100559 http://hdl.handle.net/10220/16289 |
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Institution: | Nanyang Technological University |
Language: | English |
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