24th Congress of International Council of the Aeronautical Sciences, 29 August-3, September 2004, Yokohama, Japan
Paper ICAS 2004-6.2.2

MULTI-OBJECTIVE OPTIMIZATION OF LOW PRESSURE COMPRESSION SYSTEM

D. Sasaki, S. Shahpar*, S. Obayashi
Institute of Fluid Science, Tohoku University, Sendai, Japan *Aerothermal Methods, Rolls-Royce plc, Derby, UK

Keywords: Aerodynamic Optimisation, Multi-Objective Optimisation, Evolutionary Algorithms, Computational Fluid Dynamics, LPC System

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 multiobjective design optimisation of Bypass Fan Outlet Guide Vanes as part of the Low Pressure Compression (LPC) system.

view full paper