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Filtering by: Keyword Stochastic dynamic programming Remove constraint Keyword: Stochastic dynamic programming Decade 2000-2009 Remove constraint Decade: 2000-2009

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  • Optimal Batch Lengths for Barramundi Farming Under Seasonal Variations: A Dynamic Programming Approach

    Creator:
    Rupasinghe, Jagath W. and Kennedy, John O.S.
    Abstract:
    Key decision variables in aquaculture management are stocking level, feeding schedule, temperature control and batch length. In many management problems with an infinite planning horizon, the aim is to find the batch length which results in maximum return if the same batch length applies to all future batches. This may...
    Resource Type:
    Research Paper
    Full Text:
    VARIATIONS: A DYNAMIC PROGRAMMING APPROACH Jagath W. Rupasinghe Department of Fisheries and Aquaculture

  • A Simulation Method for Predicting Future Population Dynamics with Uncertainty

    Creator:
    Kimoto, Ai and Matsuishi, Takashi
    Abstract:
    Unfortunately, most of the stocks are damaged by natural disasters or human activities and rebuilding the stock are urgent requirements. Until now, in the stock management, some policies are commonly believed to valid but have not been confirmed. A simulation model of the population dynamics incorporating uncertainty has been already...
    Resource Type:
    Research Paper
    Full Text:
    regulations, population dynamics model, stochastic model INTRODUCTION There are some common beliefs

  • Faustmann in the Sea Optimal Rotation in Aquaculture

    Creator:
    Guttormsen, Atle G.
    Abstract:
    In this paper an extended version of the well-known Faustmann model is developed for solving the rotation problem in fish farming. Two particularly important aspects of the problem are emphasized: namely first, the possibilities for cycles in relative price relationships and second, the problem with limitations in release time for...
    Resource Type:
    Research Paper
    Full Text:
    , dynamic programming, relative prices 1. INTRODUCTION As fish farms become larger and the industry