Name
Title | ||
|---|---|---|
Comparison of a genetic algorithm to grammatical evolution for automated design of genetic programming classification algorithms. |
Abstract | ||
|---|---|---|
•Automated design of Genetic Programming classification algorithms is presented.•Automated design uses a genetic algorithm and grammatical evolution.•The approach is trained and tested using real-world binary and multi-class data.•Grammatical evolution designed classifiers perform better for binary classification.•Genetic algorithm designed classifiers perform better for multi-classification. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2018.03.030 | Expert Systems with Applications |
Keywords | Field | DocType |
Genetic programming,Genetic algorithm,Grammatical evolution,Automated design,Classification | Evolutionary algorithm,Binary classification,Computer science,Genetic programming,Artificial intelligence,Data classification,Grammatical evolution,Statistical classification,Genetic algorithm,Machine learning,Multiclass classification | Journal |
Volume | ISSN | Citations |
104 | 0957-4174 | 2 |
PageRank | References | Authors |
0.37 | 47 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thambo Nyathi | 1 | 2 | 0.37 |
| Nelishia Pillay | 2 | 237 | 33.72 |