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    The Chinese business environment in the next decade: Report from a Delphi study

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    Publication type
    Journal article with impact factor
    Author
    Elliott, Gregory
    Jiang, Fuming
    Redding, Gordon
    Stening, Bruce
    Publication Year
    2010
    Journal
    Asian Business & Management
    Publication Volume
    9
    Publication Issue
    4
    Publication Begin page
    459
    Publication End page
    480
    
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    Abstract
    In this paper we present a genetic algorithm for the multi-mode resource-constrained project scheduling problem (MRCPSP), in which multiple execution modes are available for each of the activities of the project. We also introduce the preemptive extension of the problem which allows activity splitting (P-MRCPSP). To solve the problem, we apply a bi-population genetic algorithm, which makes use of two separate populations and extend the serial schedule generation scheme by introducing a mode improvement procedure. We evaluate the impact of preemption on the quality of the schedule and present detailed comparative computational results for the MRCPSP, which reveal that our procedure is amongst the most competitive algorithms.
    Keyword
    Strategic Context & International Business
    Knowledge Domain/Industry
    Strategy
    URI
    http://hdl.handle.net/20.500.12127/3737
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