Finding tradeoffs by using multiobjective optimization algorithms

Shigeru Obayashi, Daisuke Sasaki, Akira Oyama

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

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
Volume47
Issue number155
DOIs
Publication statusPublished - 2004 May

Keywords

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

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

Fingerprint Dive into the research topics of 'Finding tradeoffs by using multiobjective optimization algorithms'. Together they form a unique fingerprint.

Cite this