Year-end Sale % OFF 
Abstract
In this study, we apply the sequential approximate multi-objective optimization (SAMOO) to an open-hole laminated plate with partially different lay-up configurations for assuming fabrication by the AFP equipment. The SAMOO is a method to search for the optimal design with a small number of evaluations of the objective function while adding appropriate sample points to the response surface. When the optimization problem deals with many objective functions, it becomes difficult to visualize the design candidates and to understand the relationship between the objective functions. Thus, the self-organizing map (SOM) which displays multi-dimensional data in two dimensions is employed for visualization and clustering of obtained non-dominated solutions. Numerical results showed that the trade-off relationships among the three objectives were clarified and design alternatives could be explored according to the design tastes, and it was confirmed that the SOM was effective for the present optimization problem.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: The Proceedings of the Dynamics & Design Conference
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
