Meta-algorithms
From Algorithm Tuning and Configuration to Algorithm Portfolios
Published Online:26 Oct 2015https://doi.org/10.1287/educ.2015.0138
Abstract
Efficiency and accuracy are of primary concern when developing analytics solutions in operations research. Typically, there is more than one algorithmic approach, and none dominates the others on all practically important problem instances. Moreover, algorithms usually have implicit or explicit parameters that often greatly affect performance. Meta-algorithmics is the subject that is concerned with the development of effective automatic tools that tune algorithm parameters and, at runtime, choose the approach that is best suited for the given input. In this tutorial, we summarize the core lessons learned when devising such meta-algorithmic tools.
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