Journal article

Performance Analysis of Continuous Black-Box Optimization Algorithms via Footprints in Instance Space

Mario A Munoz, Kate A Smith-Miles

Evolutionary Computation | MIT PRESS | Published : 2017


Awarded by Australian Research Council

Funding Acknowledgements

This work is funded by the Australian Research Council through grant No. DP120103678 and Australian Laureate Fellowship FL140100012. We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Tesla K40 GPU used for this research, and N. Hansen for his clarification on the rationale behind the number of trials and calculation of the ERT during the BBOB sessions.