Name
Title | ||
|---|---|---|
The Role of Keeping "Semantic Blocks" Invariant - Effects in Linear Genetic Programming Performance |
Abstract | ||
|---|---|---|
This paper is focused on two different approaches (previously proposed by the authors) that perform better than Genetic Programming in typical symbolic regression problems: straight-line program genetic programming (SLP-GP) and evolution with attribute grammars (AGE). Both approaches have different characteristics. One of the most important is that SLP-GP keeps semantic blocks invariant (the crossover operator always exchanges complete subexpressions). In this paper we compare both methods and study the possible effect on their performance of keeping these blocks invariant. |
Year | Venue | Keywords |
|---|---|---|
2010 | ICEC 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION | Grammar evolution,Attribute grammars,Christiansen grammars,Genetic programming,Straight-line programs,symbolic regression |
Field | DocType | Citations |
Linear-fractional programming,Computer science,Theoretical computer science,Reactive programming,Genetic representation,Invariant (mathematics),Linear genetic programming | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marina de la Cruz Echeandía | 1 | 1 | 1.76 |
| Alba Martín Lázaro | 2 | 0 | 0.34 |
| Alfonso Ortega De La Puente | 3 | 27 | 5.74 |
| Josè L. Montaña | 4 | 82 | 15.50 |
| César Luis Alonso | 5 | 9 | 2.97 |