Finding tradeoffs by using multiobjective optimization algorithms

Shigeru Obayashi, Daisuke Sasaki, Akira Oyama

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)


The objective of the present study is to demonstrate performances of Evolutionary Algorithms (EAs) and conventional gradient-based methods for finding Pareto fronts. The multiobjective optimization algorithms are applied to analytical test problems as well as to the real-world problems of a compressor design. The comparison results clearly indicate the superiority of EAs in finding tradeoffs.

Original languageEnglish
Pages (from-to)51-58
Number of pages8
JournalTransactions of the Japan Society for Aeronautical and Space Sciences
Issue number155
Publication statusPublished - 2004 May


  • Aerodynamics
  • CFD
  • Compressor
  • Design
  • Evolutionary Computation
  • Gradient-Based Method
  • Multiobjective Optimization

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science


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