Abstract

Many recommendation methods for cooking recipes are proposed in previous research. There are many studies on maximizing evaluation score on healthcare, but few studies on maximization under the limits on the cost of purchasing additional ingredients and food loss. In this research new recommendation and purchase methods are proposed. Dynamic programming is applied in the proposed methods. The basic proposed method maximizes the evaluation score on healthcare under the limits on the cost of purchasing additional ingredients and food loss. It is possible that there are multiple optimal solutions. To address this issue, two improvements of the basic proposed method are implemented. The two improved proposed methods minimize the additional purchase cost and the food loss in addition to the maximization of the healthcare score when there are multiple optimal solutions. The minimization of the additional purchase cost takes priority over the minimization of the food loss in the first improved proposed method. The minimization of the food loss takes priority over the minimization of the additional purchase cost in the second improved proposed method. The effectiveness of the proposed methods is shown by some computational examples.

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