Pareto-optimality-based constraint-handling technique and its application to compressor design

Akira Oyama, Kozo Fujii, Koji Shimoyama, Meng Sing Liou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

A new constraint-handling technique based on Pareto-optimality concept is proposed for evolutionary algorithms to efficiently deal with multiobjective multi-constraint design optimization problems. The essence of the proposed method is to apply non-dominance concept based on constraint function values to infeasible designs and to apply nondominance concept based on objective function values to feasible designs. The proposed technique does not need any constants to be tuned as the proposed technique does not use weighted-sum of constraints. First, the proposed approach is demonstrated to be remarkably more robust than traditional constraint-handling techniques through the optimal design of a welded beam and conceptual design optimization of a two-stage-to-orbit space plane. Next, high-fidelity aerodynamic design optimization of an axial compressor blade design is demonstrated.

Original languageEnglish
Title of host publication17th AIAA Computational Fluid Dynamics Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781624100536
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event17th AIAA Computational Fluid Dynamics Conference - Toronto, ON, Canada
Duration: 2005 Jun 62005 Jun 9

Publication series

Name17th AIAA Computational Fluid Dynamics Conference

Other

Other17th AIAA Computational Fluid Dynamics Conference
Country/TerritoryCanada
CityToronto, ON
Period05/6/605/6/9

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Energy Engineering and Power Technology
  • Aerospace Engineering
  • Mechanical Engineering

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