Name
Abstract | ||
|---|---|---|
•Dynamic Fitness Measure Genetic Programming is proposed.•The approach uses a different fitness measure at each generation.•A genetic algorithm is used to induce the sequence of fitness measures.•The approach outperforms standard genetic programming on benchmark tasks and on complex, real-world problems. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2017.08.022 | Expert Systems with Applications |
Keywords | Field | DocType |
Genetic programming,Genetic algorithm,Fitness | Computer science,Genetic programming,Fitness function,Fitness approximation,Fitness measure,Artificial intelligence,Machine learning,Genetic algorithm | Journal |
Volume | ISSN | Citations |
92 | 0957-4174 | 1 |
PageRank | References | Authors |
0.35 | 32 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anisa W. Ragalo | 1 | 1 | 1.02 |
| Nelishia Pillay | 2 | 237 | 33.72 |