Abstract
Benchmarking is key for developing and comparing optimization algorithms. In this paper, a GPU-based test suit for real-parameter optimization, dubbed cuROB, is introduced. Test functions of diverse properties are included within cuROB and implemented efficiently with CUDA. Speedup of one order of magnitude can be achieved in comparison with CPU-based benchmark of CEC’14.
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CITATION STYLE
Ding, K., & Tan, Y. (2014). CuROB: A GPU-based test suit for real-parameter optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8795, pp. 66–78). Springer Verlag. https://doi.org/10.1007/978-3-319-11897-0_9
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