@inproceedings{oai:jaxa.repo.nii.ac.jp:00006630,
 author = {佐々木, 大輔 and Shahpar, Shahrokh and 大林, 茂 and Sasaki, Daisuke and Shahpar, Shahrokh and Obayashi, Shigeru},
 book = {宇宙航空研究開発機構特別資料: 航空宇宙数値シミュレーション技術シンポジウム2003論文集, JAXA Special Publication: Proceedings of Aerospace Numerical Simulation Symposium 2003},
 month = {Mar},
 note = {Adaptive Range Multi-Objective Genetic Algorithm (ARMOGA) has been developed to obtain trade-offs more efficiently than conventional Multi-Objective Evolutionary Algorithms. In this paper, the performance of ARMOGA is demonstrated through a multi-objective design optimization of Bypass Fan Outlet Guide Vanes as part of the Low Pressure Compression (LPC) system. In the present optimization, the objectives of the LPC system are to reduce the circumferential pressure variation at the inlet boundary and mixed-out total pressure loss at selected radial. Those objective functions are evaluated by an in-house, parallel, high-fidelity CFD solver. Throughout the optimization, ARMOGA shows the reasonable performance for obtaining trade-offs even with a small number of evaluations., 資料番号: AA0047427029, レポート番号: JAXA-SP-03-002},
 pages = {160--165},
 publisher = {宇宙航空研究開発機構, Japan Aerospace Exploration Agency (JAXA)},
 title = {Multi-objective optimisation of low pressure compression system},
 volume = {JAXA-SP-03-002},
 year = {2004}
}