The Optimalization of diet composition with the use of goal programming

The nutritive problem is characteristic task for linear programming whose role is to propose daily dose of nutrients in nourishment. The goal is to set up balanced menu for the individual person. Goal programming is used in case when is not necessary to have exact restricted conditions. The conditions are set up so final value is getting closer to assigned value that is target value. In this work will be goal programming utilized for model modification of the nutritive problem. For the nutritive problem is possible to use goal programming so particular limitation of nutrients level in nourishment will not be restricted rigorously in a form of inequalities, but so that final value is getting closer either from the top or from the bellow target value. Firstly will be created the model for linear programming with minimum costs following the model with goal programming and after that comparison will be done