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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
A Study On Lamarckian And Baldwinian Learning On Noisy And Noiseless
Landscapes |
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Authors: |
Cheng Wai Kheng, Meng Hiot Lim, Siang Yew Chong |
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Published in:
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(2010).ECMS
2010 Proceedings edited by A Bargiela S A Ali D Crowley E J H Kerckhoffs.
European Council for Modeling and Simulation. doi:10.7148/2010 ISBN:
978-0-9564944-1-2 24th
European Conference on Modelling and Simulation, Simulation Meets Global Challenges Kuala
Lumpur, June 1-4 2010 |
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Citation
format: |
Kheng, C. W., Lim, M. H., &
Chong, S. Y. (2010). A Study On Lamarckian And Baldwinian Learning On Noisy
And Noiseless Landscapes. ECMS 2010 Proceedings edited by A Bargiela S A Ali
D Crowley E J H Kerckhoffs (pp. 323-329). European Council for Modeling and
Simulation. doi:10.7148/2010-0323-0329 |
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DOI: |
http://dx.doi.org/10.7148/2010-0323-0329 |
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Abstract: |
Lamarckian
evolution and Baldwinian effect are two typical replacement schemes of the
individual learning process in Memetic Computing. In this paper, we perform a
comprehensive study of the behaviour of Lamarckian evolution and Baldwinian
effect in noisy and noiseless continuous optimization problems. The output of
this study shows that Lamarckian lifetime learning performs better on
noiseless problem, while Baldwinian learning performs better on noisy
problems. |
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