Name
Title | ||
|---|---|---|
Analyzing convergence performance of evolutionary algorithms: A statistical approach. |
Abstract | ||
|---|---|---|
•Convergence analysis is presented for analyzing evolutionary algorithms’ performance.•Convergence testing is performed by using the nonparametric Page test.•An alternative is provided for experiments including functions with reachable optima.•A case of study is included, demonstrating the uses of the tests. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.ins.2014.06.009 | Information Sciences |
Keywords | Field | DocType |
Page’s trend test,Nonparametric tests,Convergence-based algorithmic comparison,Evolutionary algorithms | Convergence (routing),Data mining,Computational intelligence,Evolutionary algorithm,Computer science,Evolutionary computation,Page's trend test,Nonparametric statistics,Optimization algorithm,Artificial intelligence,Machine learning | Journal |
Volume | ISSN | Citations |
289 | 0020-0255 | 35 |
PageRank | References | Authors |
0.79 | 35 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joaquín Derrac | 1 | 2552 | 64.42 |
| Salvador García | 2 | 343 | 11.50 |
| Sheldon Hui | 3 | 35 | 0.79 |
| P. N. Suganthan | 4 | 10876 | 412.72 |
| Francisco Herrera | 5 | 27391 | 1168.49 |