Name
Title | ||
|---|---|---|
A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability. |
Abstract | ||
|---|---|---|
•Integrating loss function with posterior probability in a single framework.•Quality loss and reliability are considered in multi-response optimization.•An improved quality loss function is proposed via Bayesian modeling.•Using optimized Monte Carlo simulation and hybrid genetic algorithm. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.ejor.2015.08.033 | European Journal of Operational Research |
Keywords | Field | DocType |
Quality management,Robust optimization,Loss function,Multi-response surface optimization,Bayesian analysis | Mathematical optimization,Stochastic optimization,Probabilistic-based design optimization,Test functions for optimization,Meta-optimization,Multi-objective optimization,Multi-swarm optimization,Stochastic programming,Optimization problem,Mathematics | Journal |
Volume | Issue | ISSN |
249 | 1 | 0377-2217 |
Citations | PageRank | References |
5 | 0.64 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianjun Wang | 1 | 8 | 1.74 |
| Yizhong Ma | 2 | 40 | 8.89 |
| Linhan Ouyang | 3 | 6 | 2.03 |
| Yiliu Tu | 4 | 111 | 15.46 |