A Bilevel Methodology for solving a Structural Optimization Problem with both Continuous and Categorical Variables-Reference-Cited by-同舟云学术

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A Bilevel Methodology for solving a Structural Optimization Problem with both Continuous and Categorical Variables

Published:2018-06-24 Issue: Volume: Page:
ISSN:
Container-title:2018 Multidisciplinary Analysis and Optimization Conference
language:
Short-container-title:

Author:

Barjhoux Pierre-Jean¹,Diouane Youssef²,Grihon Stéphane³,Bettebghor Dimitri⁴,Morlier Joseph⁵

Affiliation:

1. University of Toulouse

2. Higher Institute of Aeronautics and Space

3. Airbus

4. ONERA

5. National Center for Scientific Research (CNRS)

Publisher

American Institute of Aeronautics and Astronautics

Link

https://arc.aiaa.org/doi/pdf/10.2514/6.2018-3579

Reference25 articles.

1. Ant Colony Optimization for Mixed-Variable Optimization Problems

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An outer approximation bi-level framework for mixed categorical structural optimization problems;Structural and Multidisciplinary Optimization;2022-08

2. MDO Related Issues: Multi-Objective and Mixed Continuous/Discrete Optimization;Springer Optimization and Its Applications;2020

3. GEMS, a Generic Engine for MDO Scenarios : Key Features in Application;AIAA Aviation 2019 Forum;2019-06-15

4. Performance Evaluation of Local Surrogate Models in Bilevel Optimization;Machine Learning, Optimization, and Data Science;2019

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