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Credit Assignment in Adaptive Evolutionary Algorithms

Whitacre, Dr James M and Pham, Dr Tuan Q and Sarker, Dr Ruhul A (2006) Credit Assignment in Adaptive Evolutionary Algorithms. [Conference Paper]

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Abstract

In this paper, a new method for assigning credit to search operators is presented. Starting with the principle of optimizing search bias, search operators are selected based on an ability to create solutions that are historically linked to future generations. Using a novel framework for defining performance measurements, distributing credit for performance, and the statistical interpretation of this credit, a new adaptive method is developed and shown to outperform a variety of adaptive and non-adaptive competitors.

Item Type:Conference Paper
Keywords:Evolutionary Algorithm, Genetic Algorithm, Adaptation, Historical Credit Assignment, Search Bias
Subjects:Computer Science > Artificial Intelligence
ID Code:6580
Deposited By:Whitacre, Dr James M
Deposited On:06 Jul 2009 10:42
Last Modified:11 Mar 2011 08:57

References in Article

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