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		<title>On interactive evolution strategies - Versionsgeschichte</title>
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		<title>Gbachelier: Die Seite wurde neu angelegt: „ == Reference == Breukelaar, R., Emmerich, M., Bäck, T.: On interactive evolution strategies. In: Rothlauf, F., et al. (eds.) EvoWorkshops 2006. LNCS, vol. 39…“</title>
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				<updated>2014-11-03T14:34:52Z</updated>
		
		<summary type="html">&lt;p&gt;Die Seite wurde neu angelegt: „ == Reference == Breukelaar, R., Emmerich, M., Bäck, T.: On interactive evolution strategies. In: Rothlauf, F., et al. (eds.) EvoWorkshops 2006. LNCS, vol. 39…“&lt;/p&gt;
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== Reference ==&lt;br /&gt;
Breukelaar, R., Emmerich, M., Bäck, T.: On interactive evolution strategies. In: Rothlauf, F., et al. (eds.) EvoWorkshops 2006. LNCS, vol. 3907, pp. 530–541. Springer, Heidelberg (2006)  &lt;br /&gt;
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== DOI ==&lt;br /&gt;
http://link.springer.com/chapter/10.1007%2F11732242_51&lt;br /&gt;
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== Abstract ==&lt;br /&gt;
In this paper we discuss Evolution Strategies within the context of interactive optimization. Different modes of interaction will be classified and compared. A focus will be on the suitability of the approach in cases, where the selection of individuals is done by a human user based on subjective evaluation. We compare the convergence dynamics of different approaches and discuss typical patterns of user interactions observed in empirical studies.&lt;br /&gt;
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The discussion of empirical results will be based on a survey conducted via the world wide web. A color (pattern) redesign problems from literature will be adopted and extended. The simplicity of the chosen problems allowed us to let a larger number of people participate in our study. The amount of data collected makes it possible to add statistical support to our hypothesis about the performance and behavior of different Interactive Evolution Strategies and to figure out high-performing instantiations of the approach.&lt;br /&gt;
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The behavior of the user was also compared to a deterministic selection of the best individual by the computer. This allowed us to figure out how much the convergence speed is affected by noise and to estimate the potential for accelerating the algorithm by means of advanced user interaction schemes.&lt;br /&gt;
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== Extended Abstract ==&lt;br /&gt;
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== Bibtex == &lt;br /&gt;
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== Used References ==&lt;br /&gt;
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Banzhaf, W.: Interactive evolution. In: Bäck, T., Fogel, D., Michalewicz, Z. (eds.) Handbook of Evolutionary Computation, ch. C2.10, pp. 1–5. Oxford University Press, Oxford (1997)&lt;br /&gt;
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Beyer, H.-G.: The Theory of Evolution Strategies. Springer, Berlin (2001)&lt;br /&gt;
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Rudolph, G.: On Interactive Evolutionary Algorithms and Stochastic Mealy Automata. In: Ebeling, W., Rechenberg, I., Voigt, H.-M., Schwefel, H.-P. (eds.) PPSN 1996. LNCS, vol. 1141, pp. 218–226. Springer, Heidelberg (1996) http://dx.doi.org/10.1007/3-540-61723-X_986&lt;br /&gt;
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Schwefel, H.-P.: Evolution and Optimum Seeking. Wiley, NY (1995)&lt;br /&gt;
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Takagi, H.: Interactive Evolutionary Computation: Fusion of the Capabilities of EC Optimization and Human Evaluation. Proceedings of the IEEE 89(9), 1275–1296 (2001) http://dx.doi.org/10.1109/5.949485&lt;br /&gt;
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== Links ==&lt;br /&gt;
=== Full Text === &lt;br /&gt;
http://www.liacs.nl/~rbreukel/publications/EvoInteraction06.pdf&lt;br /&gt;
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[[intern file]]&lt;br /&gt;
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=== Sonstige Links ===&lt;/div&gt;</summary>
		<author><name>Gbachelier</name></author>	</entry>

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