Tadhg Fitzgerald

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The success or failure of a solver is oftentimes closely tied to the proper configuration of the solver's parameters. However , tuning such parameters by hand requires expert knowledge , is time consuming, and is error-prone. In recent years, automatic algorithm configuration tools have made significant advances and can nearly always find better parameters(More)
It is now readily accepted that automated algorithm configuration is a necessity for ensuring optimized performance of solvers on a particular problem domain. Even the best developers who have carefully designed their solver are not always able to manually find the best parameter settings for it. Yet, the opportunity for improving performance has been(More)
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