Computational grids to solve large scale optimization problems with uncertain data

Chefi Triki, Lucio Grandinetti

نتاج البحث: Conference contribution

2 اقتباسات (Scopus)

ملخص

In this paper we discuss the use computational grids to solve stochastic optimization problems. These problems are generally difficult to solve and are often characterized by a high number of variables and constraints. Furthermore, for some applications it is required to achieve a real-time solution. Obtaining reasonable results is a difficult objective without the use of high performance computing. Here we present a gridenabled path-following algorithm and we discuss some experimental results.

اللغة الأصليةEnglish
عنوان منشور المضيفProceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems
العنوان الفرعي لمنشور المضيفTechnology and Applications, IDAACS 2001
المحررونAnatoly Sachenko
ناشرInstitute of Electrical and Electronics Engineers Inc.
الصفحات124-127
عدد الصفحات4
رقم المعيار الدولي للكتب (الإلكتروني)078037164X, 9780780371644
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2001
منشور خارجيًانعم
الحدثInternational Workshop on Intelligent Data Acquisition and Advanced Computing Systems, IDAACS 2001 - Foros, Crimea, Ukraine
المدة: يوليو ١ ٢٠٠١يوليو ٤ ٢٠٠١

سلسلة المنشورات

الاسمProceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2001

Other

OtherInternational Workshop on Intelligent Data Acquisition and Advanced Computing Systems, IDAACS 2001
الدولة/الإقليمUkraine
المدينةForos, Crimea
المدة٧/١/٠١٧/٤/٠١

ASJC Scopus subject areas

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