01 - Aircraft Design and Integrated Systems
EFFICIENT ADAPTIVE SURROGATE-BASED OPTIMIZATION USING FUZZY CLUSTERING FOR COMPLEX SYSTEM OPTIMIZATIONS
C. Li¹, W. Ji¹, C. Gong¹, H. Fang, Shanghai Electro-Mechanical Engineering Institute, China; ¹Northwestern Polytechnical University, China
This paper proposes an efficient adaptive optimization method based on Kriging surrogate model, by using the fuzzy clustering algorithm to identify several subspaces for selecting new infill samples, after which the design space is reformed. The proposed method has better adaptability and effectiveness in solving complex system optimization problems.