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   	<dc:title>On the Distribution of EMOA Hypervolumes</dc:title>
   	<dc:creator>Mersmann, O</dc:creator>
   	<dc:creator>Trautmann, Heike</dc:creator>
   	<dc:creator>Naujoks, B</dc:creator>
   	<dc:creator>Weihs, C</dc:creator>
   	<dc:creator>Blum, C</dc:creator>
   	<dc:creator>Battiti, R</dc:creator>
   	<dc:description>We present methods to answer two basic questions that arise when benchmarking optimization algorithms. The first one is: which algorithm is the &apos;best&apos; one? and the second one: which algorithm should I use for my real world problem? Both are connected and neither is easy to answer. We present methods which can be used to analyse the raw data of a benchmark experiment and derive some insight regarding the answers to these questions. We employ the presented methods to analyse the BBOB&apos;09 benchmark results and present some initial findings.</dc:description>
   	<dc:publisher>Springer</dc:publisher>
   	<dc:date>2010</dc:date>
   	<dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
   	<dc:type>doc-type:conferenceObject</dc:type>
   	<dc:type>text</dc:type>
   	<dc:type>http://purl.org/coar/resource_type/c_5794</dc:type>
   	<dc:identifier>https://ris.uni-paderborn.de/record/46406</dc:identifier>
   	<dc:source>Mersmann O, Trautmann H, Naujoks B, Weihs C. On the Distribution of EMOA Hypervolumes. In: Blum C, Battiti R, eds. &lt;i&gt;Learning and Intelligent Optimization, 4$^th$ International Conference, LION 4, Venice, Italy&lt;/i&gt;. Vol 6073. Lecture Notes in Computer Science. Springer; 2010:333–337.</dc:source>
   	<dc:language>eng</dc:language>
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