This paper proposes optimization measures for assessing compromise solutions in multi-response problems that have been formulated in the Response Surface Methodology framework. The measures take into account the desired properties of responses at optimal variable settings, namely, the bias, quality of predictions and robustness, providing relevant information to the analyst that allows achieving solutions of interest and feasible in practice. Two examples from the literature show the utility of the proposed measures.
|Title of host publication||-|
|Publication status||Published - 1 Jan 2010|
|Event||Proceedings of the World Congress on Engineering Vol III - ICMEEM’10, June 30 - July 2, London, U.K. - |
Duration: 1 Jan 2010 → …
|Conference||Proceedings of the World Congress on Engineering Vol III - ICMEEM’10, June 30 - July 2, London, U.K.|
|Period||1/01/10 → …|