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CEC-2017 Benchmark Functions

The CEC-2017 benchmark functions dataset is used to evaluate the performance of optimization algorithms. It contains 30 functions with different characteristics, including unimodal, multi-modal, hybrid multi-modal, and composite functions.

Data and Resources

Cite this as

Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva, Mahshid Helali Moghadam, Mehrdad Saadatmand (2024). Dataset: CEC-2017 Benchmark Functions. https://doi.org/10.57702/38a098tj

DOI retrieved: December 17, 2024

Additional Info

Field Value
Created December 17, 2024
Last update December 17, 2024
Defined In https://doi.org/10.48550/arXiv.2111.10188
Author Seyed Jalaleddin Mousavirad
More Authors
Gerald Schaefer
Iakov Korovin
Diego Oliva
Mahshid Helali Moghadam
Mehrdad Saadatmand
Homepage https://www.coe.ex.ac.uk/~jkearn/cec2017/