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

B Inden; Y Jin; R Haschke; H Ritter; B Sendhoff

doi:10.1007/s00500-012-0960-z

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Journal article

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

B Inden, Y Jin, R Haschke, H Ritter and B Sendhoff

SOFT COMPUTING, Vol.17(5), pp.753-767

01/05/2013

DOI: https://doi.org/10.1007/s00500-012-0960-z

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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

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Title: An examination of different fitness and novelty based selection methods for the evolution of neural networks
Creators: B Inden
Y Jin
R Haschke
H Ritter
B Sendhoff
Publication Details: SOFT COMPUTING, Vol.17(5), pp.753-767
Publisher: SPRINGER
Date published: 01/05/2013
Date submitted: 17/05/2017
Identifiers: 99516596802346
Academic Unit: University of Surrey
Language: English
Resource Type: Journal article

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

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