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.
|ジャーナル||Transactions of the Japan Society for Aeronautical and Space Sciences|
|出版ステータス||Published - 2004 5|
ASJC Scopus subject areas
- Aerospace Engineering
- Space and Planetary Science