Reducing the number of fitness evaluations in graph genetic programming using a canonical graph indexed database
Research output: Contribution to journal › Journal article › Research › peer-review
In this paper we describe the genetic programming system GGP operating on graphs and introduce the notion of graph isomorphisms to explain how they influence the dynamics of GP. It is shown empirically how fitness databases can improve the performance of GP and how mapping graphs to a canonical form can increase these improvements by saving considerable evaluation time.
Original language | English |
---|---|
Journal | Evolutionary Computation |
Volume | 15 |
Issue number | 2 |
Pages (from-to) | 199-221 |
Number of pages | 23 |
ISSN | 1063-6560 |
DOIs | |
Publication status | Published - 2007 |
Externally published | Yes |
ID: 32645869