Items related to Studies On Shortest Path Using Genetic Algorithm
Synopsis
This book studies and discovers the Group of Shorter Paths and also finds the Shortest Path provided by Dijkstra’s Shortest Path algorithm, using Genetic Algorithm. It attempts to provide the other possible paths form source to destination node, which is helpful in making the decision to select the path which is less congested and to avail multiple options in the run of multiplicity. The objective of the work is to find a group of paths form source to destination node in a given graph. The graph can be any arbitrary graph or can be any real graph generated by Geographic Information System. The group may contain the shortest path with the shorter paths. If the group of shorter paths does not contain the shortest path then, two shorter paths is fussed to achieve the shortest path. Individuals shorter paths are considered as chromosomes and by implementing Genetic Algorithm, the shortest path have been deduced. In the domain of multiplicity we need numerous alternatives to perform a task so that our hit and trail should not fail. If the shortest path fails to provide the optimum output then it is substituted by other member in the derived group.
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About the Author
EDUCATION :2015 Doctor of Philosophy, The Department of Computer Science, University of Burdwan, West Bengal, India. 2011 M. Tech (Information Technology), Karnataka State Open University, IPM, Kanpur, India.2007 Master Computer Application, West Bengal University of Technology, Kolkata, West Bengal, India.2004 BCA, Burdwan University.
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Studies On Shortest Path Using Genetic Algorithm
Published by
LAP LAMBERT Academic Publishing Sep 2016, 2016
ISBN 10: 365991326X
ISBN 13: 9783659913266
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book studies and discovers the Group of Shorter Paths and also finds the Shortest Path provided by Dijkstra's Shortest Path algorithm, using Genetic Algorithm. It attempts to provide the other possible paths form source to destination node, which is helpful in making the decision to select the path which is less congested and to avail multiple options in the run of multiplicity. The objective of the work is to find a group of paths form source to destination node in a given graph. The graph can be any arbitrary graph or can be any real graph generated by Geographic Information System. The group may contain the shortest path with the shorter paths. If the group of shorter paths does not contain the shortest path then, two shorter paths is fussed to achieve the shortest path. Individuals shorter paths are considered as chromosomes and by implementing Genetic Algorithm, the shortest path have been deduced. In the domain of multiplicity we need numerous alternatives to perform a task so that our hit and trail should not fail. If the shortest path fails to provide the optimum output then it is substituted by other member in the derived group. 164 pp. Englisch. Seller Inventory # 9783659913266
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Studies On Shortest Path Using Genetic Algorithm
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ISBN 10: 365991326X
ISBN 13: 9783659913266
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Studies On Shortest Path Using Genetic Algorithm
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Paul TarakNathEDUCATION :2015 Doctor of Philosophy, The Department of Computer Science, University of Burdwan, West Bengal, India. 2011 M. Tech (Information Technology), Karnataka State Open University, IPM, Kanpur, India.2007 Master. Seller Inventory # 158430589
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Studies On Shortest Path Using Genetic Algorithm
Published by
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365991326X
ISBN 13: 9783659913266
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Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book studies and discovers the Group of Shorter Paths and also finds the Shortest Path provided by Dijkstra's Shortest Path algorithm, using Genetic Algorithm. It attempts to provide the other possible paths form source to destination node, which is helpful in making the decision to select the path which is less congested and to avail multiple options in the run of multiplicity. The objective of the work is to find a group of paths form source to destination node in a given graph. The graph can be any arbitrary graph or can be any real graph generated by Geographic Information System. The group may contain the shortest path with the shorter paths. If the group of shorter paths does not contain the shortest path then, two shorter paths is fussed to achieve the shortest path. Individuals shorter paths are considered as chromosomes and by implementing Genetic Algorithm, the shortest path have been deduced. In the domain of multiplicity we need numerous alternatives to perform a task so that our hit and trail should not fail. If the shortest path fails to provide the optimum output then it is substituted by other member in the derived group. Seller Inventory # 9783659913266
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Studies On Shortest Path Using Genetic Algorithm
Published by
LAP LAMBERT Academic Publishing Sep 2016, 2016
ISBN 10: 365991326X
ISBN 13: 9783659913266
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Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book studies and discovers the Group of Shorter Paths and also finds the Shortest Path provided by Dijkstra's Shortest Path algorithm, using Genetic Algorithm. It attempts to provide the other possible paths form source to destination node, which is helpful in making the decision to select the path which is less congested and to avail multiple options in the run of multiplicity. The objective of the work is to find a group of paths form source to destination node in a given graph. The graph can be any arbitrary graph or can be any real graph generated by Geographic Information System. The group may contain the shortest path with the shorter paths. If the group of shorter paths does not contain the shortest path then, two shorter paths is fussed to achieve the shortest path. Individuals shorter paths are considered as chromosomes and by implementing Genetic Algorithm, the shortest path have been deduced. In the domain of multiplicity we need numerous alternatives to perform a task so that our hit and trail should not fail. If the shortest path fails to provide the optimum output then it is substituted by other member in the derived group.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch. Seller Inventory # 9783659913266
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Studies On Shortest Path Using Genetic Algorithm
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ISBN 10: 365991326X
ISBN 13: 9783659913266
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Taschenbuch. Condition: Neu. Studies On Shortest Path Using Genetic Algorithm | TarakNath Paul (u. a.) | Taschenbuch | 164 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659913266 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 102732357
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Studies On Shortest Path Using Genetic Algorithm
Published by
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ISBN 10: 365991326X
ISBN 13: 9783659913266
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Seller Inventory # ERICA829365991326X6