A New Filled Function Method for Global Optimization

Lian Sheng Zhang*, Chi Kong Ng, Duan Li, Wei Wen Tian

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

134 Citations (Scopus)

Abstract

A novel filled function is suggested in this paper for identifying a global minimum point for a general class of nonlinear programming problems with a closed bounded domain. Theoretical and numerical properties of the proposed filled function are investigated and a solution algorithm is proposed. The implementation of the algorithm on several test problems is reported with satisfactory numerical results.

Original languageEnglish
Pages (from-to)17-43
Number of pages27
JournalJournal of Global Optimization
Volume28
Issue number1
DOIs
Publication statusPublished - Jan 2004
Externally publishedYes

Keywords

  • Filled function method
  • Global optimization
  • Mathematical programming
  • Nonconvex optimization

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