Dimensionality Reduction in Expensive Optimization Problems

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

Computer simulations are being used in engineering in science as a partial replacement for laboratory experiments. Such simulations are often computationally expensive hence metamodels are used to approximate them and to yield output values more economically. While this setup works well in low-dimensional settings it often struggles in high-dimensional ones due to poor metamodel prediction accuracy. As such this study explores frameworks which add a dimensionality-reduction component so that the modelling and optimization are performed on reduced-dimensionality problems thereby improving the metamodel accuracy and the obtained solutions. An extensive performance analysis with both mathematical test functions and an engineering application shows the effectiveness of the proposed frameworks.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفProceedings - 2nd International Conference on Mathematics and Computers in Science and Engineering, MACISE 2020
ناشرInstitute of Electrical and Electronics Engineers Inc.
الصفحات272-277
عدد الصفحات6
رقم المعيار الدولي للكتب (الإلكتروني)9781728166957
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - يناير 2020
الحدث2nd International Conference on Mathematics and Computers in Science and Engineering, MACISE 2020 - Madrid, أسبانيا
المدة: ١٨ يناير ٢٠٢٠٢٠ يناير ٢٠٢٠

سلسلة المنشورات

الاسمProceedings - 2nd International Conference on Mathematics and Computers in Science and Engineering, MACISE 2020

!!Conference

!!Conference2nd International Conference on Mathematics and Computers in Science and Engineering, MACISE 2020
الدولة/الإقليمأسبانيا
المدينةMadrid
المدة١٨/٠١/٢٠٢٠/٠١/٢٠

بصمة

أدرس بدقة موضوعات البحث “Dimensionality Reduction in Expensive Optimization Problems'. فهما يشكلان معًا بصمة فريدة.

قم بذكر هذا