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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Ding, K., Tan, Y. (2014). cuROB: A GPU-Based Test Suit for Real-Parameter Optimization. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8795. Springer, Cham. https://doi.org/10.1007/978-3-319-11897-0_9
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DOI: https://doi.org/10.1007/978-3-319-11897-0_9
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11896-3
Online ISBN: 978-3-319-11897-0
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