Dimensionality-reduction frameworks for computationally expensive problems

Yoel Tenne, Kazuhiro Izui, Shinji Nishiwaki

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

11 اقتباسات (Scopus)

ملخص

Real-world design optimization problems are typically computationally- expensive and to address this various model-assisted evolutionary frameworks have been proposed. However, often such problems are also high-dimensional and in such settings models tend to have poor accuracy and thus degrade the optimization search. To address this we propose two complementary dimensionality-reduction frameworks for evolutionary model-assisted optimization: one uses variable-selection to identify an important subset of the original variables while the other uses topological mapping to project the high-dimensional data to a lower-dimension. Performance analysis with both mathematical test functions and a problem of airfoil shape optimization evaluates the efficacy of the frameworks.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيف2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 2010
منشور خارجيًانعم
الحدث2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 - Barcelona, أسبانيا
المدة: ١٨ يوليو ٢٠١٠٢٣ يوليو ٢٠١٠

سلسلة المنشورات

الاسم2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

!!Conference

!!Conference2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
الدولة/الإقليمأسبانيا
المدينةBarcelona
المدة١٨/٠٧/١٠٢٣/٠٧/١٠

بصمة

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