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

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 (5). pp. 753-767.

Full text not available from this repository.
Item Type: Article
Authors :
NameEmailORCID
Inden, BUNSPECIFIEDUNSPECIFIED
Jin, Yyaochu.jin@surrey.ac.ukUNSPECIFIED
Haschke, RUNSPECIFIEDUNSPECIFIED
Ritter, HUNSPECIFIEDUNSPECIFIED
Sendhoff, BUNSPECIFIEDUNSPECIFIED
Date : 1 May 2013
Identification Number : 10.1007/s00500-012-0960-z
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Interdisciplinary Applications, Computer Science, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS, Neuroevolution, Selection, Novelty search, Evolutionary robotics, NEAT
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:38
Last Modified : 17 May 2017 15:05
URI: http://epubs.surrey.ac.uk/id/eprint/836123

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