Name
Title | ||
|---|---|---|
Utopian point based decomposition for multi-objective optimization problems with complicated Pareto fronts. |
Abstract | ||
|---|---|---|
•A Utopian point based decomposition method is proposed under the framework of MOEA/D algorithm.•It is an efficient way of enhancing the performance of MOEA/D on MOPs with irregularly shaped PFs.•The proposed MOEA/D-UP is less sensitive to the PF shape of the target MOPs. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.asoc.2017.08.036 | Applied Soft Computing |
Keywords | Field | DocType |
Evolutionary multi-objective optimization,Decomposition method,Utopian point,Complicated Pareto fronts | Convergence (routing),Reciprocal,Mathematical optimization,Evolutionary algorithm,Scalar (physics),Algorithm,Multi-objective optimization,Decomposition method (constraint satisfaction),Optimization problem,Mathematics,Pareto principle | Journal |
Volume | ISSN | Citations |
61 | 1568-4946 | 3 |
PageRank | References | Authors |
0.36 | 35 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yutao Qi | 1 | 81 | 7.35 |
| Qingsai Zhang | 2 | 3 | 0.36 |
| Xiaoliang Ma | 3 | 182 | 18.51 |
| Yi-Ning Quan | 4 | 30 | 2.14 |
| Qiguang Miao | 5 | 355 | 49.69 |