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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks Volume 18
Editor
ISBN-10:
0791802823
ISBN:
9780791802823
No. of Pages:
700
Publisher:
ASME Press
Publication date:
2008
eBook Chapter
5 Extending Graph Based Evolutionary Algorithms with Novel Graphs
By
Steven M. Corns
,
Steven M. Corns
Engineering Management and Systems Engineering Department
Missouri University of Science and Technology
Rolla, MO 65409
; cornss@mst.edu
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Daniel A. Ashlock
,
Daniel A. Ashlock
Department of Mathematics and Statistics
University of Guelph
Guelph, ON N1G 2R4
Canada
; dasholock@uoguelph.ca
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Kenneth Mark Bryden
Kenneth Mark Bryden
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Page Count:
10
-
Published:2008
Citation
Corns, SM, Ashlock, DA, Taylor, RP, & Bryden, KM. "Extending Graph Based Evolutionary Algorithms with Novel Graphs." Intelligent Engineering Systems through Artificial Neural Networks Volume 18. Ed. Dagli, CH. ASME Press, 2008.
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Graph Based Evolutionary Algorithms (GBEAs) are a novel modification to the local mating rules of an evolutionary algorithm that allow for the control of diversity loss by restricting mating choices. Graph structures are used to impose an artificial geography on the solution set to mimic geographical boundaries and other mating restrictions found in nature. Previous work has shown that by using graphs of a lower degree, diversity in the population decreases at a slower rate, allowing for the formation of more diverse set of good building blocks. This research also indicated that graph degree is not the only factor affecting...
Topics:
Evolutionary algorithms
Abstract
Introduction
Graph Based Evolutionary Algorithms
Experimental Design
Results
Conclusions and Future Work
References
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