ISBN: 9783659226304 - intelligent gis-based decision support system for bus routing problem: intelligent gis-based dss for solving sbrp (3 resultados)

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  • Idioma: Inglés

    Editorial: LAP Lambert Academic Publishing, 2012

    3659226300 / 9783659226304

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    EUR 51,10

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    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. Intelligent GIS-based Decision Support System for Bus Routing Problem | Intelligent GIS-based DSS for Solving SBRP | AbdelMonaem AbdAllah (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659226304 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2012

    3659226300 / 9783659226304

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    Librería: moluna, Greven, Alemaniamoluna

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    EUR 49,26

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    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: AbdAllah AbdelMonaemAbdelMonaem Fouad Moustafa AbdAllah, B.Sc. of Information Systems and Technology, and MSc. in Information Systems, Faculty of Computers and Informatics, Zagazig University, Egypt, 2005, 2010 respectively. Research. …

  • Idioma: Inglés

    Editorial: LAP Lambert Academic Publishing, 2012

    3659226300 / 9783659226304

    • Tapa blanda
    • Impresión bajo demanda

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 66,55

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    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The school bus routing problem (SBRP) is a central issue in transportation planning and optimization systems. SBRP seeks to plan an efficient schedule for a fleet of school buses where each bus picks up students from various bus stops and delivers them to their designated schools while satisfying various constraints such as the bus capacity. Due to its complexity, many heuristics have been proposed to solve this combinatorial problem in an effective way. In this book, geographic information systems (GIS)-based decision-making framework that combines GIS, clustering techniques, network cutting techniques, and a hybrid ant colony optimization metaheuristic with the iterated Lin Kernighan local improvement heuristic is proposed for solving the SBRP as a split delivery vehicle routing problem (SDVRP). Experiments were conducted for evaluating the proposed framework by comparing the results from it and Arc-GIS 9.2 Network Analyst which uses the greedy Dijkstra s algorithm. The reported results of the proposed framework generally outperform that of the ArcGIS. IIn addition, the proposed decision-making framework was applied to solve a real life SBRP to demonstrate its application.…