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. In: Proceedings of IEEE Congress on Evolutionary Computation 2006, pp. 3302-3308. From: CEC 2006 IEEE Congress on Evolutionary Computation 2006, 16-21 July 2006, Vancouver, BC, Canada.

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Abstract

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 ID: 4313
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: computational neuroscience; computational modelling; computer algorithms; pedagogic change; information technology; neuroscience
ISBN: 0-7803-9487-9
Date Deposited: 23 Nov 2009 05:47
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
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