Experimental Data Sets for the study "Benchmarking a $(\mu+\lambda)$ Genetic Algorithm with Configurable Crossover Probability"

<p>This is the experimental result of the study &quot;Benchmarking a (&mu;+&lambda;) Genetic Algorithm with Configurable Crossover Probability&quot;. A novel&nbsp;(&mu;+&lambda;) GA is proposed and benchmarked, in which we stochastically determine whether to apply the crossover operator either for each individual or generation with a crossover probability&nbsp;<span class="math-tex">\(p_c\)</span>.&nbsp;This data set&nbsp;consists&nbsp;of two parts:</p> <ol> <li>The results of (&mu;+&lambda;) GA on 25 pseudo-Boolean problems defined in <em>IOHprofiler </em>(<a href="https://iohprofiler.github.io/">https://iohprofiler.github.io/</a>) with the following&nbsp;setup:&nbsp;<span class="math-tex">\(\mu \in \{10, 50, 100\}, \lambda \in \{1, \lceil\mu/2\rceil, \mu\}, p_c\in\{0, 0.5\}.\)</span> <ul> <li>&#39;IOHprofiler_Problems_standard_bit_mutation.csv&#39; --&gt; the (&mu;+&lambda;) GA with standard bit mutation.</li> <li>&#39;IOHprofiler_Problems_fast_mutation.csv&#39; --&gt; the (&mu;+&lambda;) GA with fast&nbsp;mutation.</li> </ul> </li> <li>The results of (&mu;+&lambda;) GA on OneMax and LeadingOnes problems&nbsp;with the following setup:&nbsp;<span class="math-tex">\(n \in \{64,100,150,200,250,500\}, \mu \in \{2,3,5,8,10,20,30,...,100\}, \\ \lambda \in \{1, \lceil \mu/2 \rceil, \mu\}, \text{and }p_c \in \{0.1 k \mid k \in [0..9]\}\cup\{0.95\}.\)</span> <ul> <li>&#39;OneMax_raw.csv&#39; --&gt; the fixed-target running time/first hitting time from 100 independent runs for target values in&nbsp;<span class="math-tex">\([1..n]\)</span>.</li> <li>&#39;OneMax_summary.csv&#39; --&gt; the mean, median, standard deviation, some quantiles, expected running time (ERT), the number of successful runs, and the success rate&nbsp;from 100 independent runs for target values in&nbsp;<span class="math-tex">\([1..n]\)</span>.</li> <li>&#39;LeadingOnes_raw.csv&#39; --&gt; the same with &#39;OneMax_raw.csv&#39; for LeadingOnes.</li> <li>&#39;LeadingOnes_summary.csv&#39; --&gt; the same with &#39;OneMax_summary.csv&#39; for LeadingOnes.</li> </ul> </li> </ol> <p><strong>Contact</strong>: if you have any questions or suggestions, please feel free to contact&nbsp;<a href="https://www.universiteitleiden.nl/en/staffmembers/furong-ye#tab-1">Furong Ye</a> or <a href="http://www-ia.lip6.fr/~doerr/">Carola Doerr</a>.</p>