An Evolutionary Mono-Objective Approach for Solving the Menu Planning Problem

R. P. C. Moreira, E. Wanner, F. V. Martins, J. Sarubbi
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引用次数: 5

Abstract

This work proposes an evolutionary approach to solve the Menu Planning Problem. Our work uses the Brazilian school context and our principal goal is to create menus that minimize the total cost of these menus. However, those menus must also satisfy requirements of the Brazilian government, such as: (i) student age group, (ii) school category, (iii) school duration time, (iv) school location, (v) variety of preparations, (vi) harmony of preparations, (vii) maximum amount to be paid for each meal and, (viii) lower and upper limits of macronutrients. The results demonstrate that the evolutionary approach is not only able to generate a set of inexpensive and healthy menus but also respect the required set of constraints. A constrained deterministic approach is performed to generate 5-day menu through a greedy-based function taking into account the normalized sum of all macronutrients and the monetary cost of the menu. A comparison between the 5-day menu obtained by the proposed approach and the constrained greedy-based approach menu is carried out. Despite the fact the obtained menu outperforms the greed-based menu taking into account the total cost, this difference is not so expressive. However, all macronutrients were outside the pre-defined range at least in one day of the week. The 5-day menu obtained by the proposed approach is evaluated by a nutritionist. The overall quality of the menu is outstanding and the time spent to generate it is 60 seconds.
一种解决菜单规划问题的进化单目标方法
这项工作提出了一种进化的方法来解决菜单规划问题。我们的工作使用了巴西的学校环境,我们的主要目标是创建菜单,使这些菜单的总成本最小化。但是,这些菜单还必须满足巴西政府的要求,例如:(i)学生年龄组,(ii)学校类别,(iii)学校持续时间,(iv)学校位置,(v)准备的种类,(vi)准备的协调性,(vii)每餐支付的最高金额,以及(viii)常量营养素的下限和上限。结果表明,进化方法不仅能够生成一组廉价和健康的菜单,而且还尊重所需的一组约束。考虑到所有常量营养素的标准化总和和菜单的货币成本,通过基于贪婪的函数执行约束确定性方法来生成5天菜单。将该方法获得的5天菜单与基于约束贪婪的方法菜单进行了比较。尽管考虑到总成本,获得的菜单优于基于贪婪的菜单,但这种差异并不那么明显。然而,在一周中至少有一天,所有的常量营养素都超出了预定的范围。由建议的方法获得的5天菜单由营养学家进行评估。菜单的整体质量非常出色,制作时间为60秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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