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\item<3-> We pick the first ten instances from each set, i.e., test 100 instances in total%
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\item<4-> All instances are satisfiable%
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\item<5-> The problem instances have the following features\uncover<6->{:%
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\begin{itemize}%
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\item\maxSatVariables: the number of variables%
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\item<7-> \maxSatClauses: the number of clauses (here related to \maxSatVariables)%
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\end{itemize}%
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}%
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\end{itemize}%
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\end{frame}%
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%
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%
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\begin{frame}%
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\frametitle{Experiments}%
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\begin{itemize}%
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\item Now we want to do the experiments.%
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\item<2-> What data shall we collect?\uncover<3->{%
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\begin{enumerate}%
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\item Data should allow us to reproduce algorithm progress over time%
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\item<4-> We can collect one data point whenever the algorithm makes an improvement in terms of \objectiveFunction\uncover<5->{ (and one at the end of run)}%
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\item<6-> $\maxSatClauses+1$ possible objective values $\Longrightarrow$ at most $\maxSatClauses+2$ log points%
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\item<7-> In each log point we record\uncover<8->{%
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\begin{itemize}%
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\item the number of function evaluations (\measureFEs) performed%
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\item<9-> the elapsed runtime \measureRuntime\ (in \nano\second)%
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\item<10-> the best objective value \measureObjectiveValue\ achieved so far%
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\end{itemize}%
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}%
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\end{enumerate}%
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}%
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%\item<5-> The problem instances have the following features\uncover<6->{:%
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%\begin{itemize}%
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%\item \maxSatVariables: the number of variables%
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%\item<7-> \maxSatClauses: the number of clauses (here related to \maxSatVariables)%
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%\end{itemize}%
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%}%
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\end{itemize}%
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\end{frame}%
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%
@@ -119,10 +99,11 @@ \section{Example: \maxSat}%
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\frametitle{Example of Log File}%
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%
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\begin{itemize}%
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\item Example log file obtained from applying the 2-flip Hill Climber with Restarts to the 2\textsuperscript{nd} benchmark instance of set \texttt{uf075}.%
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\only<-1>{\item Now we do experiments and collect data.}%
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\item<2-> Example log file obtained from applying the 2-flip Hill Climber with Restarts to the 2\textsuperscript{nd} benchmark instance of set \texttt{uf075}.%
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