Name
Title | ||
|---|---|---|
Mixed second order partial derivatives decomposition method for large scale optimization. |
Abstract | ||
|---|---|---|
•A theoretical analysis of the interaction between variables is developed.•Three theorems and three lemma are presented.•A decomposition method based on mixed second order partial derivatives is proposed. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.asoc.2017.08.025 | Applied Soft Computing |
Keywords | Field | DocType |
Large-scale optimization,Evolutionary algorithm,Cooperative co-evolution,Divide-and-conquer,Decomposition method,Nonseparability,Curse of dimensionality | Evolutionary algorithm,Partial derivative,Decomposition method (constraint satisfaction),Artificial intelligence,Divide and conquer algorithms,Optimization problem,Lemma (mathematics),Mathematical optimization,Algorithm,Curse of dimensionality,Mathematics,Machine learning,Scalability | Journal |
Volume | ISSN | Citations |
61 | 1568-4946 | 1 |
PageRank | References | Authors |
0.35 | 21 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin Li | 1 | 103 | 4.21 |
| Licheng Jiao | 2 | 5698 | 475.84 |
| Rustam Stolkin | 3 | 527 | 39.74 |
| Fang Liu | 4 | 1188 | 125.46 |