Enhance the Baldwin effect by strengthening the correlation between genetic operators and learning methods
Ku, Kim (2006) Enhance the Baldwin effect by strengthening the correlation between genetic operators and learning methods. Proceedings of IEEE Congress on Evolutionary Computation 2006. CEC 2006 IEEE Congress on Evolutionary Computation 2006 , 16-21 July 2006, Vancouver, BC, Canada , pp. 3302-3308.
|PDF (Published Version) - Repository staff only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader|
View at Publisher Website: http://dx.doi.org/10.1109/CEC.2006.16887...
Baldwin effect is one of the popular approaches to combining evolutionary search and learning. However, the benefit of the Baldwin effect can be difficult to obtain in some circumstances. This is due to the lack of understanding of the factors affecting the Baldwin effect. This work illustrates that the Baldwin effect is affected by the correlation between genetic operators and learning methods. Examples are provided to demonstrate how to improve the performance of Baldwinian learning by adjusting the genetic operators towards a stronger correlation with learning.
|Item Type:||Conference Item (Refereed Research Paper - E1)|
|Keywords:||computational neuroscience; computational modelling; computer algorithms; pedagogic change; information technology; neuroscience|
|SEO Codes:||89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%|
|Deposited On:||23 Nov 2009 15:47|
|Last Modified:||15 Nov 2011 14:03|
Last 12 Months: 0
|Citation Counts with External Providers:|
Repository Staff Only: item control page