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    The JPathFinder Multicriteria Path Planning Toolkit


    Mooney, Peter and Winstanley, Adam C. (2003) The JPathFinder Multicriteria Path Planning Toolkit. In: AGILE 2003: 6th AGILE conference on geographic information science. Collection des sciences appliquées de l'INSA de Lyon . Presses polytechniques et universitaires romandes, Lausanne, pp. 283-291. ISBN 2-88074-541-1

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    Abstract

    The design, software development, implementation and end-user methodologies of a Java driven software toolkit (JPathFinder) for multicriteria path planning is described. This toolkit may be used to help decision makers (DMs) find the multicriteria paths (the Pareto Optimal set) that are best suited to a specific multicriteria route (or path) planning problem they are trying to solve. This paper reports current progress in the research and development work currently being carried out on JPathFinder. JPathFinder, developed within the evolutionary computation paradigm, generates a Pareto optimal set of nondominated paths. DMs have full-parameterised control over optimisation criteria specification, examination of interesting solutions, and JPathFinder path-search stopping conditions. Data clustering techniques are incorporated offering DMs greater control over the size of their output set. JPathFinder delivers platform independence and interoperability.

    Item Type: Book Section
    Keywords: JPathFinder; Multicriteria Path Planning; Pareto optimal set;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 4912
    Depositing User: Dr. Adam Winstanley
    Date Deposited: 24 Apr 2014 14:21
    Publisher: Presses polytechniques et universitaires romandes
    Refereed: No
    URI:

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