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Geolocation web application for vehicule routing problem based on genetic algorithms

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dc.contributor.author Bounif, Issam
dc.date.accessioned 2018-02-07T13:41:12Z
dc.date.available 2018-02-07T13:41:12Z
dc.date.issued 2016
dc.identifier.uri http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/2577
dc.description.abstract In the industry field The challenging strategy of supply chain management and logistics is to optimize the product delivery from suppliers to customers thus satisfying constraints. Such problems are known as Vehicle Routing Problems (VRP), in which the vehicles leave the depot, serve customers assigned and upon completion of their routes return to the depot. In this thesis, our goal is to minimize the distance travelled by applying the bio-inspired Genetic Algorithms. After that our solution is implemented through a web application and to increase the challenges we will create an android application for the management of our system . en_US
dc.language.iso en en_US
dc.publisher FACULTE DES MATHEMATIQUES ET DE L’INFORMATIQUE - UNIVERSITE MOHAMED BOUDIAF - M’SILA en_US
dc.subject Vehicle Routing Problems, optimization, Genetic Algorithms en_US
dc.title Geolocation web application for vehicule routing problem based on genetic algorithms en_US
dc.type Thesis en_US


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