Abstract
The main object in aerodynamic design is a wing. High lift (HL) systems are probably the main concern in wing design optimization due to strict regulations. An optimization of high lift systems is difficult because of flow physics and high number of design parameters. Evolutionary algorithms including particle swarm optimization (PSO) are popular methods in HL system optimization. However, the computational burden of PSO may be a serious issue in process. In this article, efficient accelerators are integrated to PSO and applied to an inverse design of multi-element airfoils. The comparative test cases demonstrated that remarkable reductions in computational times have been accomplished.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
