An examination of different fitness and novelty based selection methods for the evolution of neural networks

Inden B, Jin Y, Haschke R, Ritter H, Sendhoff B (2013)
Soft Computing 17(5): 753-767.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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DOI
Autor*in
Inden, BenjaminUniBi; Jin, Yaochu; Haschke, RobertUniBi ; Ritter, HelgeUniBi ; Sendhoff, Bernhard
Einrichtung
Research Institute for Cognition and Robotics
Center of Excellence - Cognitive Interaction Technology CITEC
Technische Fakultät > AG Wissensbasierte Systeme
Technische Fakultät > AG Neuroinformatik
Erscheinungsjahr
2013
Zeitschriftentitel
Soft Computing
Band
17
Ausgabe
5
Seite(n)
753-767
ISSN
1432-7643
eISSN
1433-7479
Page URI
https://pub.uni-bielefeld.de/record/2542464

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Inden B, Jin Y, Haschke R, Ritter H, Sendhoff B. An examination of different fitness and novelty based selection methods for the evolution of neural networks. Soft Computing. 2013;17(5):753-767.
Inden, B., Jin, Y., Haschke, R., Ritter, H., & Sendhoff, B. (2013). An examination of different fitness and novelty based selection methods for the evolution of neural networks. Soft Computing, 17(5), 753-767. doi:10.1007/s00500-012-0960-z
Inden, Benjamin, Jin, Yaochu, Haschke, Robert, Ritter, Helge, and Sendhoff, Bernhard. 2013. “An examination of different fitness and novelty based selection methods for the evolution of neural networks”. Soft Computing 17 (5): 753-767.
Inden, B., Jin, Y., Haschke, R., Ritter, H., and Sendhoff, B. (2013). An examination of different fitness and novelty based selection methods for the evolution of neural networks. Soft Computing 17, 753-767.
Inden, B., et al., 2013. An examination of different fitness and novelty based selection methods for the evolution of neural networks. Soft Computing, 17(5), p 753-767.
B. Inden, et al., “An examination of different fitness and novelty based selection methods for the evolution of neural networks”, Soft Computing, vol. 17, 2013, pp. 753-767.
Inden, B., Jin, Y., Haschke, R., Ritter, H., Sendhoff, B.: An examination of different fitness and novelty based selection methods for the evolution of neural networks. Soft Computing. 17, 753-767 (2013).
Inden, Benjamin, Jin, Yaochu, Haschke, Robert, Ritter, Helge, and Sendhoff, Bernhard. “An examination of different fitness and novelty based selection methods for the evolution of neural networks”. Soft Computing 17.5 (2013): 753-767.
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