Name
Abstract | ||
|---|---|---|
This paper presents a new model for regression problems based on Multi-Gene and Quantum Inspired Linear Genetic Programming. We discuss theoretical aspects, operators, representation, and experimental results. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2598394.2598476 | GECCO (Companion) |
Keywords | Field | DocType |
automatic programming,multi-gene genetic programming,quantum-inspired algorithm,symbolic regression | Quantum,Mathematical optimization,Computer science,Inductive programming,Genetic programming,Operator (computer programming),Genetic representation,Artificial intelligence,Regression problems,Linear genetic programming,Symbolic regression,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guilherme Cesário Strachan | 1 | 0 | 0.34 |
| Adriano Soares Koshiyama | 2 | 34 | 10.19 |
| Douglas Mota Dias | 3 | 24 | 7.18 |
| Marley Maria Bernardes Rebuzzi Vellasco | 4 | 66 | 11.93 |
| Marco Aurélio Cavalcanti Pacheco | 5 | 143 | 22.29 |