COCO: The Experimental Procedure
arXiv:1603.08776v267 citations
Originality Synthesis-oriented
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This work provides a standardized benchmarking method for researchers in optimization, but it is incremental as it builds upon existing COCO platform tools.
The paper introduces a budget-free experimental procedure for benchmarking numerical optimization algorithms in black-box scenarios, applicable with the COCO platform, focusing on initialization, input, termination, and restarts.
We present a budget-free experimental setup and procedure for benchmarking numericaloptimization algorithms in a black-box scenario. This procedure can be applied with the COCO benchmarking platform. We describe initialization of and input to the algorithm and touch upon therelevance of termination and restarts.