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    Evolutionary Algorithms to Solve Agricultural Routing Planning

    Utamima A 2020.pdf (17.59Mb)
    Access Status
    Open access
    Authors
    Utamima, Amalia
    Date
    2020
    Supervisor
    Torsten Reiners
    Amir Hossein Ansaripoor
    Type
    Thesis
    Award
    PhD
    
    Metadata
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    Faculty
    Business and Law
    School
    School of Management
    URI
    http://hdl.handle.net/20.500.11937/82468
    Collection
    • Curtin Theses
    Abstract

    This doctoral thesis aims to develop effective Evolutionary Algorithms that can be competitively applied to Agricultural Routing Planning (ARP) and to formulate an extension of the ARP. The outcomes of this research will impact on the research community with the development of new algorithms as well as the dissemination of findings. This study is significant as it is expected to improve the management of agricultural machinery, to minimise the total cost and the settling time for completing field operations, and to produce better routing plans.

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