دورية أكاديمية

Optimization by moving ridge functions: derivative-free optimization for computationally intensive functions

التفاصيل البيبلوغرافية
العنوان: Optimization by moving ridge functions: derivative-free optimization for computationally intensive functions
المؤلفون: Gross, JC, Parks, GT
بيانات النشر: Informa UK Limited
//dx.doi.org/10.1080/0305215x.2021.1886286
Engineering Optimization
سنة النشر: 2022
المجموعة: Apollo - University of Cambridge Repository
مصطلحات موضوعية: Derivative-free optimization, nonlinear optimization, trust region methods, dimension reduction, ridge functions
الوصف: A novel derivative-free algorithm, optimization by moving ridge functions (OMoRF), for unconstrained and bound-constrained optimization is presented. This algorithm couples trust region methodologies with output-based dimension reduction to accel- erate convergence of model-based optimization strategies. The dimension-reducing subspace is updated as the trust region moves through the function domain, al- lowing OMoRF to be applied to functions with no known global low-dimensional structure. Furthermore, its low computational requirement allows it to make rapid progress when optimizing high-dimensional functions. Its performance is examined on a set of test problems of moderate to high dimension and a high-dimensional design optimization problem. The results show that OMoRF compares favourably to other common derivative-free optimization methods, even for functions in which no underlying global low-dimensional structure is known.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
العلاقة: https://www.repository.cam.ac.uk/handle/1810/315891Test
DOI: 10.17863/CAM.63002
الإتاحة: https://doi.org/10.17863/CAM.63002Test
https://www.repository.cam.ac.uk/handle/1810/315891Test
حقوق: All rights reserved
رقم الانضمام: edsbas.7951BA8C
قاعدة البيانات: BASE