Name
Abstract | ||
|---|---|---|
In this paper a new "hierarchical" evolutionary approach to solving multi-objective optimization problems is introduced. The results of experiments with standard multi-objective test problems, which were aimed at comparing "hierarchical" and "classical" versions of multi-objective evolutionary algorithms, show that the proposed approach is a very promising technique. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-69389-5_82 | ICCS (3) |
Keywords | Field | DocType |
hierarchical approach,multi-objective optimization problem,evolutionary multi-objective optimization,promising technique,standard multi-objective test problem,multi-objective evolutionary algorithm,evolutionary approach | Mathematical optimization,Evolutionary algorithm,Computer science,Multi-objective optimization,Evolutionary programming,Optimization problem | Conference |
Volume | ISSN | Citations |
5103 | 0302-9743 | 2 |
PageRank | References | Authors |
0.40 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eryk Ciepiela | 1 | 54 | 6.42 |
| Joanna Kocot | 2 | 37 | 4.50 |
| Leszek Siwik | 3 | 67 | 13.85 |
| Rafał Dreżewski | 4 | 76 | 10.13 |