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Pareto front generation with knee-point based pruning for mixed discrete multi-objective optimization

  • Juseong Lee
  • , Sang-Il Lee (Corresponding author)
  • , Jaemyung Ahn
  • , Han-Lim Choi

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

This note proposes an algorithm to generate the Pareto front of a mixed discrete multi-objective optimization problem based on the pruning of irrelevant subproblems. The knee point is introduced as a new reference point for pruning decision. The point can overcome the drawback of the existing reference point – over-pruning, and be naturally defined and used in the context of multi-objective optimization. The validity of the proposed procedure is demonstrated through case studies.

Original languageEnglish
Pages (from-to)823-830
Number of pages8
JournalStructural and Multidisciplinary Optimization
Volume58
Issue number2
DOIs
Publication statusPublished - 1 Aug 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

Keywords

  • Knee point
  • Mixed-discrete optimization
  • Multi-objective optimization
  • Pareto front
  • Pruning

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