A novel non-probabilistic reliability-based design optimization algorithm using enhanced chaos control method

2017 ◽  
Vol 318 ◽  
pp. 572-593 ◽  
Author(s):  
Peng Hao ◽  
Yutian Wang ◽  
Chen Liu ◽  
Bo Wang ◽  
Hao Wu
Keyword(s):  
Design Optimization ◽  
Optimization Algorithm ◽  
Chaos Control ◽  
Control Method ◽  
Reliability Based Design Optimization ◽  
Reliability Based Design

A Hybrid Reliability-Based Design Optimization Approach with Adaptive Chaos Control Using Kriging Model

2016 ◽  
Vol 13 (01) ◽  
pp. 1650006 ◽  
Author(s):  
Gang Li ◽  
Zeng Meng ◽  
Peng Hao ◽  
Hao Hu
Keyword(s):  
Design Optimization ◽  
Chaos Control ◽  
Pso Algorithm ◽  
Kriging Model ◽  
Target Point ◽  
Optimization Approach ◽  
Reliability Based Design Optimization ◽  
Local Optima ◽  
Reliability Based Design ◽  
Highly Nonlinear

Traditional reliability-based design optimization (RBDO) approaches are computationally expensive for complicated problems. To cope with this challenge, a surrogate-based hybrid RBDO approach for the problems with highly nonlinear constraints and multiple local optima is proposed in this study. Specifically, the adaptive chaos control (ACC) method is used to ensure the robustness of the most probable target point (MPTP) search process, and the particle swarm optimization (PSO) algorithm is utilized to conquer the barrier caused by multiple local optima. Three illustrative benchmark examples together with a 3 m diameter orthogrid stiffened shell for current launch vehicles are employed to demonstrate the efficiency and robustness of the proposed method.

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