@inproceedings{e3afc12909c3420e89a372cd593fdb02,
title = "A study on lamarckian and Baldwinian learning on noisy and noiseless landscapes",
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 on the behaviour of Lamarckian evolution and Baldwinian effect in noisy and noiseless continuous optimisation problems. The output of this comprehensive study shows that Lamarckian lifetime learning performs better on noiseless problem, while Baldwinian learning performs better on noisy problems.",
keywords = "Baldwinian effect, Lamarckian evolution, Landscape, Memetic computing, Optimisation",
author = "Cheng, \{Wai Kheng\} and Meng, \{Hiot Lim\} and Chong, \{Siang Yew\}",
year = "2010",
language = "English",
isbn = "9780956494405",
series = "Proceedings - 24th European Conference on Modelling and Simulation, ECMS 2010",
pages = "323--329",
booktitle = "Proceedings - 24th European Conference on Modelling and Simulation, ECMS 2010",
note = "24th European Conference on Modelling and Simulation, ECMS 2010 ; Conference date: 01-06-2010 Through 04-06-2010",
}