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Intelligent Engineering Systems through Artificial Neural Networks

Editor
Cihan H. Dagli
Cihan H. Dagli
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K. Mark Bryden
K. Mark Bryden
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Steven M. Corns
Steven M. Corns
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Mitsuo Gen
Mitsuo Gen
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Kagan Tumer
Kagan Tumer
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Gürsel Süer
Gürsel Süer
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ISBN:
9780791802953
No. of Pages:
636
Publisher:
ASME Press
Publication date:
2009

Grid robots have proven to be an effective modeling tool for artificial life research, providing a platform to evaluate methods of machine learning. Some of the most interesting behaviors found in artificial life problems are the co-evolutionary effects caused by two different virtual species interacting with each other. This paper further examines this phenomenon by applying an artificial geography on two evolving species of virtual robots using evolutionary algorithms for controllers. Graph Based Evolutionary Algorithms were applied to three versions of a simple controller for “painter” robots. The results of this study showed that even though the virtual robot behavior...

Abstract
Introduction
Painting Robots
Graph Based Evolutionary Algorithms
List of Graphs
Experimental Design
Results
Conclusions and Future Work
References
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