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 language | English |
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Pages (from-to) | 51-58 |
Number of pages | 8 |
Journal | Transactions of the Japan Society for Aeronautical and Space Sciences |
Volume | 47 |
Issue number | 155 |
DOIs | |
Publication status | Published - 2004 May |
Keywords
- Aerodynamics
- CFD
- Compressor
- Design
- Evolutionary Computation
- Gradient-Based Method
- Multiobjective Optimization
ASJC Scopus subject areas
- Aerospace Engineering
- Space and Planetary Science