![]() Here the optimization of the metabolizable energy and ration cost is solved iteratively using a non-differentiable interactive multi-objective bundle-based optimization method which will then result into different alternative optimal formulations. The solution procedure employed in this study is an iterative multi-objective optimization method. This study therefore addressed how a multi-criteria feed formulation affects the productivity of feed milling business with the use of mathematical programming in bringing about an optimal solution that is both economical and brings out the best energy yield. While overfeeding unnecessarily increases the feed cost underfeeding on the other hand reduces the performance of the animal and the overall productivity of the feed milling operation. Over-formulation or under-formulation of animal feed is a major challenge in a feed milling operation. ![]()
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