Name
Abstract | ||
|---|---|---|
In recent work on linear register-based genetic programming (GP) we introduced the notion of Memory-with-Memory (MwM), where the results of operations are stored in registers using a form of soft assignment which blends a result into the current content of a register rather than entirely replace it. The MwM system yielded very promising results on a set of symbolic regression problems. In this paper, we propose a way of introducing MwM style behaviour in tree-based GP systems. The technique requires only very minor modifications to existing code, and, therefore, is easy to apply. Experiments on a variety of synthetic and real-world problems show that MwM is very beneficial in tree-based GP, too. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-01181-8_3 | EuroGP |
Keywords | Field | DocType |
tree-based gp,mwm system,existing code,tree-based genetic programming,linear register-based genetic programming,real-world problem,minor modification,current content,mwm style behaviour,promising result,tree-based gp system | Computer science,Genetic programming,Theoretical computer science,Artificial intelligence,Linear genetic programming,Symbolic regression,Machine learning | Conference |
Volume | ISSN | Citations |
5481 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Riccardo Poli | 1 | 2589 | 308.79 |
| Nicholas F. McPhee | 2 | 23 | 7.35 |
| luca citi | 3 | 168 | 27.88 |
| Ellery Crane | 4 | 6 | 0.79 |