Quelltext der Seite When novelty is not enough



== Referenz == 
Cuccu, G., Gomez, F.: When novelty is not enough. In: Di Chio, C., et al. (eds.) EvoApplications 2011, Part I. LNCS, vol. 6624, pp. 234–243. Springer, Heidelberg (2011) 

== DOI ==
http://dx.doi.org/10.1007/978-3-642-20525-5_24

== Abstract ==
The idea of evolving novel rather than fit solutions has recently been offered as a way to automatically discover the kind of complex solutions that exhibit truly intelligent behavior. So far, novelty search has only been studied in the context of problems where the number of possible “different” solutions has been limited. In this paper, we show, using a task with a much larger solution space, that selecting for novelty alone does not offer an advantage over fitness-based selection. In addition, we examine how the idea of novelty search can be used to sustain diversity and improve the performance of standard, fitness-based search.

== Extended Abstract ==

== Bibtex == 
 @Inbook{Cuccu2011,
 author="Cuccu, Giuseppe
 and Gomez, Faustino",
 editor="Di Chio, Cecilia
 and Cagnoni, Stefano
 and Cotta, Carlos
 and Ebner, Marc
 and Ek{\'a}rt, Anik{\'o}
 and Esparcia-Alc{\'a}zar, Anna I.
 and Merelo, Juan J.
 and Neri, Ferrante
 and Preuss, Mike
 and Richter, Hendrik
 and Togelius, Julian
 and Yannakakis, Georgios N.",
 title="When Novelty Is Not Enough",
 bookTitle="Applications of Evolutionary Computation: EvoApplications 2011: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Torino, Italy, April 27-29, 2011, Proceedings, Part I",
 year="2011",
 publisher="Springer Berlin Heidelberg",
 address="Berlin, Heidelberg",
 pages="234--243",
 isbn="978-3-642-20525-5",
 doi="10.1007/978-3-642-20525-5_24",
 url="http://dx.doi.org/10.1007/978-3-642-20525-5_24 http://de.evo-art.org/index.php?title=When_novelty_is_not_enough"
 }

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