An Adapted Derivative-Free Optimization Method for an Optimal Design Application with Mixed Binary and Continuous Variables
Overview & Synopsis
Numerous optimal design applications are black-box mixed integer nonlinear optimization problems: with objective function and constraints that are outputs of a black-box simulator involving mixed continuous and integer (discrete) variables. In this paper, we address an optimal design application for bladed disks of turbo-machines in aircraft. We discuss the formulation of an appropriate distance with respect to discrete variables which can deal with the cyclic symmetry property of the system under study. The necklace concept is introduced to characterize similar blade configurations and an adapted distance is proposed for discrete space exploration of a derivative-free optimization method. The results obtained with this method on a simplified industrial application are compared with results of state-of-the-art black-box optimization methods.
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Document Information
| Document Title | An Adapted Derivative-Free Optimization Method for an Optimal Design Application with Mixed Binary and Continuous Variables |
|---|---|
| Author / Organization | Thi-Thoi Tran, Delphine Sinoquet, Sébastien da Veiga, Marcel Mongeau |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2020 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-212445 |
| Original Source Link | Visit Source Page on hal.science » |