Title :
Gradient methods to solve integer vector optimization problems
Author_Institution :
V.M. Glushkov Inst. of Cybern. of NAS Ukraine, Kiev, Ukraine
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;
Conference_Titel :
Problems of Cybernetics and Informatics (PCI), 2012 IV International Conference
Conference_Location :
Baku
Print_ISBN :
978-1-4673-4500-2
DOI :
10.1109/ICPCI.2012.6486480
