Name
Title | ||
|---|---|---|
On Tchebycheff Decomposition Approaches for Multiobjective Evolutionary Optimization. |
Abstract | ||
|---|---|---|
Tchebycheff decomposition represents one of the most widely used decomposition approaches that can convert a multiobjective optimization problem into a set of scalar optimization subproblems. Nevertheless, the geometric properties of the subproblem objective functions in Tchebycheff decomposition have not been explicitly studied. This paper proposes a Tchebycheff decomposition with lp-norm constra... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TEVC.2017.2704118 | IEEE Transactions on Evolutionary Computation |
Keywords | Field | DocType |
Linear programming,Sociology,Evolutionary computation,Pareto optimization,Measurement | Mathematical optimization,Evolutionary algorithm,Unary operation,Scalar (physics),Evolutionary computation,Multi-objective optimization,Geometric property,Linear programming,Mathematics,Decomposition | Journal |
Volume | Issue | ISSN |
22 | 2 | 1089-778X |
Citations | PageRank | References |
27 | 0.69 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoliang Ma | 1 | 182 | 18.51 |
| Qingfu Zhang | 2 | 7634 | 255.05 |
| Guangdong Tian | 3 | 158 | 13.86 |
| Junshan Yang | 4 | 29 | 1.75 |
| Zexuan Zhu | 5 | 989 | 57.41 |