DocumentCode
1679589
Title
Gradient methods to solve integer vector optimization problems
Author
Semenov, Vadim
Author_Institution
V.M. Glushkov Inst. of Cybern. of NAS Ukraine, Kiev, Ukraine
fYear
2012
Firstpage
1
Lastpage
1
Abstract
The multicriterion problem of integer optimization is examined. Developed and proved exact and approximate algorithms, which are the extensions of gradient methods for vector integer optimization problems, and in case of one-criteria optimization coincide with them.
Keywords
gradient methods; integer programming; operations research; vectors; approximate algorithms; gradient methods; integer vector optimization problems; multicriterion problem; one-criteria optimization; gradient methods; integer optimization; vector optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Problems of Cybernetics and Informatics (PCI), 2012 IV International Conference
Conference_Location
Baku
Print_ISBN
978-1-4673-4500-2
Type
conf
DOI
10.1109/ICPCI.2012.6486480
Filename
6486480
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