Abstract
A practical method for the offline extraction and analysis of salient patterns from tree-based genetic programming (GP) individuals is proposed. The method is contrasted with Tackett's algorithm [7] and it is shown that relying solely on frequency and fitness profiles for the salient pattern identification can be misleading. To amend Tackett's work a formula for measuring saliency is proposed. A method for separating inert and salient patterns is also discussed.
| Original language | English |
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| Title of host publication | Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO '09 |
| Place of Publication | New York, NY (US) |
| Publisher | ACM |
| Pages | 1885-1886 |
| Number of pages | 2 |
| ISBN (Print) | 978-1-60558-325-9 |
| DOIs | |
| Publication status | Published - 8 Jul 2009 |
| Event | 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009 - Montreal, QC, Canada Duration: 8 Jul 2009 → 12 Jul 2009 |
Conference
| Conference | 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009 |
|---|---|
| Country/Territory | Canada |
| City | Montreal, QC |
| Period | 8/07/09 → 12/07/09 |
Keywords
- genetic programming
- patterns
- tree-mining