Name
Title | ||
|---|---|---|
Computing budget allocation rules for multi-objective simulation models based on different measures of selection quality |
Abstract | ||
|---|---|---|
In an optimal computing budget allocation problem, different measures of selection quality determine how the best set of designs can be identified and how the simulation budget should be allocated among the designs. In this paper, we look at several measures of selection quality and derive respective allocation rules for the multi-objective computing budget allocation problem. Some computational experiments are carried out to compare the performance of the allocation rules and to identify the suitable ones in certain scenarios. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.automatica.2010.08.004 | Automatica |
Keywords | Field | DocType |
Allocation rules,Multi-objective,Computing budget allocation,Lagrange relaxation,Measure of selection quality | Mathematical optimization,Optimal computing budget allocation,Computer science,Lagrange multiplier,Budget allocation,Relaxation (iterative method),Lagrange relaxation,Multiobjective programming,Simulation modeling | Journal |
Volume | Issue | ISSN |
46 | 12 | Automatica |
Citations | PageRank | References |
6 | 0.48 | 18 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Loo Hay Lee | 1 | 1159 | 93.96 |
| Ek Peng Chew | 2 | 459 | 44.07 |
| Suyan Teng | 3 | 113 | 6.92 |