Finding tradeoffs by using multiobjective optimization algorithms

Shigeru Obayashi, Daisuke Sasaki, Akira Oyama

研究成果: Article査読

23 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)51-58
ページ数8
ジャーナルTransactions of the Japan Society for Aeronautical and Space Sciences
47
155
DOI
出版ステータスPublished - 2004 5

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

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