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An Adapted Derivative-Free Optimization Method for an Optimal Design Application with Mixed Binary and Continuous Variables
Thi-Thoi Tran, Delphine Sinoquet, Sébastien da Veiga, Marcel Mongeau

An Adapted Derivative-Free Optimization Method for an Optimal Design Application with Mixed Binary and Continuous Variables

Science & Mathematics Published 2020 Verification Pending

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 »