Abstract
This research is focused on reducing the average size of the solutions generated by an enhanced GP process without affecting the high predictive accuracy the method exhibits when being applied on a complex, industry proposed, regression problem. As such, the effects the GP enhancements have on bloat have been studied and, finally, a bloat control system based on dynamic depth limiting (DDL) and iterated tournament pruning (ITP) was designed. The resulting bloat control system is able to improve by ≃ 40% the average GP solution parsimony without impacting average solution accuracy.
Original language | English |
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Title of host publication | Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers |
Pages | 264-271 |
Number of pages | 8 |
Volume | 6927 |
Edition | PART 1 |
DOIs | |
Publication status | Published - 2012 |
Event | 13th International Conference on Computer Aided Systems Theory, Eurocast 2011 - Las Palmas de Gran Canaria, Spain Duration: 6 Feb 2011 → 11 Feb 2011 http://www.iuctc.ulpgc.es/spain/eurocast2011/ |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Number | PART 1 |
Volume | 6927 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 13th International Conference on Computer Aided Systems Theory, Eurocast 2011 |
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Country/Territory | Spain |
City | Las Palmas de Gran Canaria |
Period | 06.02.2011 → 11.02.2011 |
Internet address |
Keywords
- bloat control
- genetic programming
- solution parsimony
- symbolic regression