Name
Abstract | ||
|---|---|---|
•Our framework for multi-objective optimization uses a formal notion of approximation.•Its runtime increases only linearly with the number of objectives.•Our framework achieves a good approximation of the Pareto front across many problems.•This is rarely the case for established algorithms such as NSGA-II, IBEA and SPEA2.•Our approach now allows the optimization of problems with many objectives. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.ejor.2014.11.032 | European Journal of Operational Research |
Keywords | Field | DocType |
Multi-objective optimization,Approximation,Comparative study | Approximation algorithm,Heuristic,Mathematical optimization,Evolutionary algorithm,Multi-objective optimization,Optimization problem,Mathematics | Journal |
Volume | Issue | ISSN |
243 | 2 | 0377-2217 |
Citations | PageRank | References |
10 | 0.50 | 25 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Markus Wagner 0007 | 1 | 54 | 4.25 |
| Karl Bringmann | 2 | 427 | 30.13 |
| Tobias Friedrich | 3 | 457 | 23.56 |
| Frank Neumann | 4 | 1727 | 124.28 |