Analyzing the BBOB Results by Means of Benchmarking Concepts

O. Mersmann, M. Preuss, H. Trautmann, B. Bischl, C. Weihs, Evolutionary Computation Journal 23 (2015) 161–185.

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Journal Article | English
Author
Mersmann, O; Preuss, M; Trautmann, HeikeLibreCat ; Bischl, B; Weihs, C
Abstract
We present methods to answer two basic questions that arise when benchmarking optimization algorithms. The first one is: which algorithm is the "best" one? and the second one is: which algorithm should I use for my real-world problem? Both are connected and neither is easy to answer. We present a theoretical framework for designing and analyzing the raw data of such benchmark experiments. This represents a first step in answering the aforementioned questions. The 2009 and 2010 BBOB benchmark results are analyzed by means of this framework and we derive insight regarding the answers to the two questions. Furthermore, we discuss how to properly aggregate rankings from algorithm evaluations on individual problems into a consensus, its theoretical background and which common pitfalls should be avoided. Finally, we address the grouping of test problems into sets with similar optimizer rankings and investigate whether these are reflected by already proposed test problem characteristics, finding that this is not always the case.
Publishing Year
Journal Title
Evolutionary Computation Journal
Volume
23
Issue
1
Page
161–185
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Mersmann O, Preuss M, Trautmann H, Bischl B, Weihs C. Analyzing the BBOB Results by Means of Benchmarking Concepts. Evolutionary Computation Journal. 2015;23(1):161–185.
Mersmann, O., Preuss, M., Trautmann, H., Bischl, B., & Weihs, C. (2015). Analyzing the BBOB Results by Means of Benchmarking Concepts. Evolutionary Computation Journal, 23(1), 161–185.
@article{Mersmann_Preuss_Trautmann_Bischl_Weihs_2015, title={Analyzing the BBOB Results by Means of Benchmarking Concepts}, volume={23}, number={1}, journal={Evolutionary Computation Journal}, author={Mersmann, O and Preuss, M and Trautmann, Heike and Bischl, B and Weihs, C}, year={2015}, pages={161–185} }
Mersmann, O, M Preuss, Heike Trautmann, B Bischl, and C Weihs. “Analyzing the BBOB Results by Means of Benchmarking Concepts.” Evolutionary Computation Journal 23, no. 1 (2015): 161–185.
O. Mersmann, M. Preuss, H. Trautmann, B. Bischl, and C. Weihs, “Analyzing the BBOB Results by Means of Benchmarking Concepts,” Evolutionary Computation Journal, vol. 23, no. 1, pp. 161–185, 2015.
Mersmann, O., et al. “Analyzing the BBOB Results by Means of Benchmarking Concepts.” Evolutionary Computation Journal, vol. 23, no. 1, 2015, pp. 161–185.

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