Mean and Standard Deviation Optimization of Multiple Responses

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageUnknown
Title of host publicationProceedings of the International MultiConference of Engineers and Computer Scientists (IMECS)
Pages1225-1230
DOIs
Publication statusPublished - 1 Jan 2011
EventInternational MultiConference of Engineers and Computer Scientists 2011 -
Duration: 1 Jan 2011 → …

Conference

ConferenceInternational MultiConference of Engineers and Computer Scientists 2011
Period1/01/11 → …

Cite this

Pereira, Z. P. D. P. S. L. (2011). Mean and Standard Deviation Optimization of Multiple Responses. In Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS) (pp. 1225-1230) https://doi.org/10.1142/9789814390019_0016
Pereira, Zulema Paula do Perpétuo Socorro Lopes. / Mean and Standard Deviation Optimization of Multiple Responses. Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS). 2011. pp. 1225-1230
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Pereira, ZPDPSL 2011, Mean and Standard Deviation Optimization of Multiple Responses. in Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS). pp. 1225-1230, International MultiConference of Engineers and Computer Scientists 2011, 1/01/11. https://doi.org/10.1142/9789814390019_0016

Mean and Standard Deviation Optimization of Multiple Responses. / Pereira, Zulema Paula do Perpétuo Socorro Lopes.

Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS). 2011. p. 1225-1230.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - 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.

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Pereira ZPDPSL. Mean and Standard Deviation Optimization of Multiple Responses. In Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS). 2011. p. 1225-1230 https://doi.org/10.1142/9789814390019_0016