Name
Abstract | ||
|---|---|---|
This paper presents a new method for numerical optimization problems based on Multi-Gene Genetic Programming. We discuss theoretical aspects, operators, representation, and experimental results. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2464576.2464651 | GECCO (Companion) |
Keywords | Field | DocType |
multi-gene genetic programming,numerical optimization problem,theoretical aspect,new method,genetic programming | Mathematical optimization,Global optimization,Robust optimization,Computer science,Meta-optimization,Genetic programming,Theoretical computer science,Genetic representation,Evolutionary programming,Optimization problem,Metaheuristic | Conference |
Citations | PageRank | References |
1 | 0.36 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adriano Soares Koshiyama | 1 | 34 | 10.19 |
| Douglas Mota Dias | 2 | 24 | 7.18 |
| André Vargas Abs da Cruz | 3 | 29 | 5.91 |
| Marco Aurélio Cavalcanti Pacheco | 4 | 143 | 22.29 |