Quantum-Inspired Genetic Algorithm for a Class of Combinatorial Optimizatio

Simple item page
dc.contributor.authorBen Hamida, Yazid
dc.date.accessioned2018-02-25T07:45:23Z
dc.date.available2018-02-25T07:45:23Z
dc.date.issued2016
dc.description.abstractThe quantum-inspired evolutionary algorithm is new area of intelligent computation. In this work we propose a new quantum inspired genetic algorithm, to solve a class of combinatorial optimization problems. our QIGA is applied to the 0-1 Knapsack problem to evaluation and validation.en_US
dc.identifier.urihttps://repository.univ-msila.dz/handle/123456789/3049
dc.language.isoenen_US
dc.publisherFACULTY OF MATHEMATICS AND INFORMATICS-UNIVERSITY MOHAMED BOUDIAF OF M'SILAen_US
dc.subjectQIGA, Quantum Computing , Genetic Algorithms, Knapsack Problemen_US
dc.titleQuantum-Inspired Genetic Algorithm for a Class of Combinatorial Optimizatioen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Ben Hamida Yazid.rar
Size:
4.78 MB
Format:
Unknown data format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Master Thesis