A comparative study of multiresponse optimization criteria working ability

Nuno Costa, João Lourenço

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

There is not a unique optimal solution for problems with multiple responses. Some solutions lead to operation conditions that are more hazardous, more costly or more difficult to implement and control. Therefore, it is useful for the analyst or decision-maker to use a criterion that can capture solutions evenly distributed along the so-called Pareto frontier. To provide information about criteria's working ability to depict Pareto frontiers, four optimization criteria built on different approaches were evaluated. Results show differences in criteria's performance. In particular, a consistent performance of a global criterion and limitations of the widely used desirability-based criterion is stated. (C) 2014 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)171-177
Number of pages7
JournalChemometrics And Intelligent Laboratory Systems
Volume138
DOIs
Publication statusPublished - 15 Nov 2014

Keywords

  • Compromise
  • Desirability
  • Multiobjective
  • Optimal
  • Pareto
  • RSM
  • RESPONSE-SURFACE METHODOLOGY
  • PREFERENCE ARTICULATION APPROACH
  • PRINCIPAL COMPONENT ANALYSIS
  • ROBUST DESIGN OPTIMIZATION
  • DATA ENVELOPMENT ANALYSIS
  • MULTIOBJECTIVE OPTIMIZATION
  • DESIRABILITY FUNCTION
  • MULTIPLE RESPONSES
  • MULTICRITERIA OPTIMIZATION
  • MULTIVARIATE OPTIMIZATION

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