Small bias and high robustness at optimal variable settings are desirable properties to all the responses involved in a multiresponse optimization problem. An approach that considers those properties and can be easily used by practitioners is presented. Its feasibility is illustrated through two examples from the literature and the results compared with those of other popular and effective methods.
Index Terms - Compromise programming, Loss function, Robustness, RSM, Variance.
|Title of host publication||Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS)|
|Publication status||Published - 1 Jan 2011|
|Event||International MultiConference of Engineers and Computer Scientists 2011 - |
Duration: 1 Jan 2011 → …
|Conference||International MultiConference of Engineers and Computer Scientists 2011|
|Period||1/01/11 → …|