33th Congress of the International Council of the Aeronautical Sciences

01.1 - Aircraft Design and Integrated System (Basics and Theory)

EFFICIENT SURROGATE-BASED MULTI-OBJECTIVE OPTIMIZATION ALGORITHM WITH A NEW ADAPTIVE WEIGHT VECTOR GENERATION

Z. Lu¹, Z.-H. Han¹, Z. Zhou, Science and Technology on Scramjet Laboratory,CARDC, China; W.-P. Song¹, Y. Zhang¹; ¹Northwestern Polytechnical University, China

This paper proposes an efficient surrogate-based multi-objective optimization algorithm with a new adaptive weight vectors generation. The experience study on numerical cases shows it is efficient, robust and has good capability of constraint handling to expensive multi-objective optimization. And it is applied to aerodynamic design optimization of hypersonic aircraft.


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