Abstract
This paper illustrates the application of Multiple Objective Fractional Programming to Livestock Ration Formulation in a real-life situation. For the situation being modelled, the rigid way in which constraints are treated in a conventional least-cost Linear Programming framemodel leads to difficulties in obtaining a feasible diet. The introduction of a second objective, besides least-cost, representing the maximisation of the inclusion in the diet of the feeds available on the farm results in a Multiple Objective Programming framework. From several versions of the proposed model, one with a fractional objective turns out to be the most effective in yielding adequate solutions to the specific situation.
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