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arXiv · 2202.08613

On the evaluation of (meta-)solver approaches

Roberto Amadini·Maurizio Gabbrielli·Tong Liu·Jacopo Mauro
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Abstract

Meta-solver approaches exploits a number of individual solvers to potentially build a better solver. To assess the performance of meta-solvers, one can simply adopt the metrics typically used for individual solvers (e.g., runtime or solution quality), or employ more specific evaluation metrics (e.g., by measuring how close the meta-solver gets to its virtual best performance). In this paper, based on some recently published works, we provide an overview of different performance metrics for evaluating (meta-)solvers, by underlying their strengths and weaknesses.

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Roberto Amadini, Maurizio Gabbrielli, Tong Liu, Jacopo Mauro. 2022-02-17. On the evaluation of (meta-)solver approaches. https://doi.org/10.1613/jair.1.14102

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