Name
Title | ||
|---|---|---|
Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization. |
Abstract | ||
|---|---|---|
The balance between convergence and diversity is the cornerstone of evolutionary multiobjective optimization (EMO). The recently proposed stable matching-based selection provides a new perspective to handle this balance under the framework of decomposition multiobjective optimization. In particular, the one-one stable matching between subproblems and solutions, which achieves an equilibrium betwee... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TEVC.2017.2656922 | IEEE Transactions on Evolutionary Computation |
Keywords | Field | DocType |
Optimization,Convergence,Collaboration,Sociology,Statistics,Urban areas,Computer science | Convergence (routing),Mathematical optimization,Stable marriage problem,Multi-objective optimization,Population diversity,Artificial intelligence,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
21 | 4 | 1089-778X |
Citations | PageRank | References |
23 | 0.62 | 32 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mengyuan Wu | 1 | 62 | 2.71 |
| Ke Li | 2 | 75 | 4.86 |
| Sam Kwong | 3 | 4590 | 315.78 |
| Yu Zhou | 4 | 58 | 4.86 |
| Qingfu Zhang | 5 | 7634 | 255.05 |