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    Multi-objective Genetic Algorithms for Multi-depot VRP with Time Windows

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    Author
    Biswas, Sanjib
    Keyword
    Vehicle Routing Problem
    Genetic Algorithms
    Age-layered Population Structure
    Multi-objective GA
    
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    URI
    http://hdl.handle.net/10464/11528
    Abstract
    Efficient routing and scheduling has significant economic implications for many real-world situations arising in transportation logistics, scheduling, and distribution systems, among others. This work considers both the single depot vehicle routing problem with time windows (VRPTW) and the multi-depot vehicle routing problem with time windows (MDVRPTW). An age-layered population structure genetic algorithm is proposed for both variants of the vehicle routing problem. To the best of the author’s knowledge, this is first work to provide a multi-objective genetic algorithm approach for the MDVRPTW using well-known benchmark data with up to 288 customers.
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