Quantum-Inspired Genetic Algorithm for a Class of Combinatorial Optimizatio
dc.contributor.author | Ben Hamida, Yazid | |
dc.date.accessioned | 2018-02-25T07:45:23Z | |
dc.date.available | 2018-02-25T07:45:23Z | |
dc.date.issued | 2016 | |
dc.description.abstract | The 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.uri | http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/3049 | |
dc.language.iso | en | en_US |
dc.publisher | FACULTY OF MATHEMATICS AND INFORMATICS-UNIVERSITY MOHAMED BOUDIAF OF M'SILA | en_US |
dc.subject | QIGA, Quantum Computing , Genetic Algorithms, Knapsack Problem | en_US |
dc.title | Quantum-Inspired Genetic Algorithm for a Class of Combinatorial Optimizatio | en_US |
dc.type | Thesis | en_US |