01 - Aircraft Design and Integrated SystemsEFFICIENT ADAPTIVE SURROGATE-BASED OPTIMIZATION USING FUZZY CLUSTERING FOR COMPLEX SYSTEM OPTIMIZATIONSC. 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. |