Mean and Standard Deviation Optimization of Multiple Responses

Zulema Paula do Perpétuo Socorro Lopes Pereira

doi:10.1142/9789814390019_0016

Mean and Standard Deviation Optimization of Multiple Responses

Zulema Paula do Perpétuo Socorro Lopes Pereira

DEMI - Departamento de Engenharia Mecânica e Industrial

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	Unknown
Title of host publication	Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS)
Pages	1225-1230
DOIs	https://doi.org/10.1142/9789814390019_0016
Publication status	Published - 1 Jan 2011
Event	International MultiConference of Engineers and Computer Scientists 2011 - Duration: 1 Jan 2011 → …

Conference

Conference	International MultiConference of Engineers and Computer Scientists 2011
Period	1/01/11 → …

Access to Document

10.1142/9789814390019_0016

Cite this

@inproceedings{07c0c51406f74b7485e884e5bd88510a,

title = "Mean and Standard Deviation Optimization of Multiple Responses",

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.",

author = "Pereira, {Zulema Paula do Perp{\'e}tuo Socorro Lopes}",

year = "2011",

month = jan,

day = "1",

doi = "10.1142/9789814390019_0016",

language = "Unknown",

isbn = "978-988-19251",

pages = "1225--1230",

booktitle = "Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS)",

note = "International MultiConference of Engineers and Computer Scientists 2011 ; Conference date: 01-01-2011",

}

TY - GEN

T1 - Mean and Standard Deviation Optimization of Multiple Responses

AU - Pereira, Zulema Paula do Perpétuo Socorro Lopes

PY - 2011/1/1

Y1 - 2011/1/1

N2 - 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.

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.

U2 - 10.1142/9789814390019_0016

DO - 10.1142/9789814390019_0016

M3 - Conference contribution

SN - 978-988-19251

SP - 1225

EP - 1230

BT - Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS)

T2 - International MultiConference of Engineers and Computer Scientists 2011

Y2 - 1 January 2011

ER -