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Using a Distance Metric on Genetic Programs toUnderstand Genetic
| Content Provider | Semantic Scholar |
|---|---|
| Author | Reilly, Una-May O’ |
| Copyright Year | 1997 |
| Abstract | I describe a distance metric called "edit" distance which quantiies the syntactic diierence between two genetic programs. In the context of one speciic problem, the 6 bit multiplexor, I use the metric to analyze the amount of new material introduced by diierent crossover operators , the diierence among the best individuals of a population and the diierence among the best individuals and the rest of the population. The relationships between these data and run performance are imprecise but they are suuciently interesting to encourage encourage further investigation into the use of edit distance. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ai.mit.edu/people/unamay/icga-ws-papers/icga-posn.ps |
| Alternate Webpage(s) | http://www.ai.mit.edu/people/unamay/papers/edit-distance.ps |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |