Using a distance metric on genetic programs to understand genetic operators

I describe a distance metric called "edit" distance which quantifies the syntactic difference between two genetic programs. In the context of one specific problem, the 6 bit multiplexor, I use the metric to analyze the amount of new material introduced by different crossover operators, the...

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Bibliographic Details
Main Author: O'Reilly, U.-M.
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Genetic programming
Information analysis
Performance analysis
Sampling methods
Online Access:Request full text
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Summary:I describe a distance metric called "edit" distance which quantifies the syntactic difference between two genetic programs. In the context of one specific problem, the 6 bit multiplexor, I use the metric to analyze the amount of new material introduced by different crossover operators, the difference among the best individuals of a population and the difference among the best individuals and the rest of the population. The relationships between these data and run performance are imprecise but they are sufficiently interesting to encourage further investigation into the use of edit distance.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.1997.637337