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dc.contributor.authorRahman, Fairooz Maliha
dc.contributor.authorBhowmick, Supta
dc.contributor.authorEva, Luthfun Naher
dc.contributor.authorAnu, Anwara Khatun
dc.date.accessioned2018-02-13T05:54:05Z
dc.date.available2018-02-13T05:54:05Z
dc.date.issued2018-02-12
dc.identifier.urihttp://dspace.uiu.ac.bd/handle/52243/154
dc.description.abstractWe studied some Greedy Algorithms, implemented to observe the in depth functionalities. We used the main idea of Knapsack problem to solve some problems which are inspired by real life applications. Afterwards we thought of implementing MST with Genetic Algorithm. Genetic Algorithm is one of the most evolutionary methods in the field of computer science for solving optimization problem. With the help of Genetic Algorithm we designed an algorithm that makes it possible to solve MST problems more efficiently.en_US
dc.language.isoenen_US
dc.publisherUnited International Universityen_US
dc.subjectGreedy Algorithmsen_US
dc.subjectKnapsack problemen_US
dc.subjectGenetic Algorithmen_US
dc.subjectMinimum Spanning Treeen_US
dc.subjectSingle Source Shortest Pathen_US
dc.titleStudy on Selected Greedy Algorithmsen_US
dc.typeThesisen_US


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