Nonlinear multiple objective optimization: an algorithm and some theory

Asim Roy, Jyrki Wallenius

Research output: Contribution to journalArticlepeer-review


This paper presents an algorithm and the supporting theory for solving a class of nonlinear multiple criteria optimization problems using Zionts-Wallenius type of interaction. The Zionts-Wallenius method, as extended in this paper, can be used for solving multiple criteria problems with concave objective and (implicit) value functions and convex feasible regions. Modifications of the method to handle nonconvex feasible regions and general nonlinear objective functions are also discussed.

Original languageEnglish (US)
Pages (from-to)235-249
Number of pages15
JournalMathematical Programming, Series B
Issue number2
StatePublished - Jun 1 1992

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software
  • Management Science and Operations Research
  • Safety, Risk, Reliability and Quality
  • General Mathematics
  • Applied Mathematics


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