Quasi-Newton methods for solving multiobjective optimization

Shaojian Qu, Mark Goh, Tung Sun Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

47 Citations (Scopus)


This paper presents a quasi-Newton-type algorithm for nonconvex multiobjective optimization. In this algorithm, the iterations are repeated until termination conditions are met, which is when a suitable descent direction cannot be found anymore. Under suitable assumptions, global convergence is established.
Original languageEnglish
Pages (from-to)397-399
Number of pages3
JournalOperations Research Letters
Issue number5
Publication statusPublished - 1 Sept 2011


  • Critical point
  • Global convergence
  • Multiobjective optimization
  • Pareto optimality
  • Quasi-Newton methods

ASJC Scopus subject areas

  • Software
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics


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