A Review on Automated Menu Planning Approaches

Ngo, Hea Choon; Cheah, Yu-N; Goh, Ong Sing; Choo, Yun-Huoy; Basiron, Halizah; Kumar, Yogan Jaya

doi:10.3844/jcssp.2016.582.596

Cited by 10 publications

(11 citation statements)

References 85 publications

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“…The MPP [8] is a well-known problem that involves the generation of meal plans, generally for a person, with the aim of establishing specific diet routines. For these meal plans to better adjust to the needs of the user, aspects such as physiological characteristics, food preferences, restrictions due to allergies or different lifestyles and price constraints, among others, are usually considered.…”

Section: Description Of the Menu Planning Problemmentioning

confidence: 99%

“…For doing that, SCHOOLTHY makes use of Evolutionary Computation (EC) to deal with a novel multi-objective formulation of the Menu Planning Problem (MPP) [8], that we have termed as Multi-objective Menu Planning Problem (MMPP). The making of meal plans for school canteens exclusively is what differentiates this new formulation from other variants of the MPP used in most applications previously proposed [8], since our audience is a group of school-age children at lunchtime.…”

Section: Introductionmentioning

confidence: 99%

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SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals

et al. 2020

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SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals is a decision support tool that addresses the multi-objective menu planning problem in order to automatically produce meal plans for school canteens. Malnutrition is a widespread problem nowadays and is particularly serious when it affects children. In our environment, nutrition experts design healthy and balanced meal plans for children manually, which leaves significant room for improvement in terms of convenience and efficiency. SCHOOLTHY is presented herein as a proposal to improve and facilitate the work of these professionals. We focus on offering healthy and balanced meal plans that not only satisfy the recommended energy and nutrient intakes, but that also have a minimum cost and maximum variety of courses and food groups. Quantitative analyses that compare the meal plans yielded by SCHOOLTHY for meal plans designed by experts at hand and served in regional schools demonstrate the suitability of the proposal. Finally, we note that, thanks to its flexibility, SCHOOLTHY might be easily adapted to deal with other environments, such as hospitals, prisons and retirement homes, among others.

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Section: Description Of the Menu Planning Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals

et al. 2020

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“…The first identifies four classes that are used in automated menu planning approaches: trial-and-error, optimisation, metaheuristic and fuzzy reasoning approaches [38]. Most works cited in [38] did not focus on manageable incorporation of food and nutrition therapy guideline knowledge into solution models suggesting research opportunities remain in this area.…”

Section: Related Workmentioning

confidence: 99%

“…These solutions differ but can be characterised by the framework used in modelling the MPP and the extent to which they incorporate different types of knowledge. Recently, three ways for the classification of solution models [7, 38, 39] for the MPP have emerged in literature.…”

Section: Related Workmentioning

confidence: 99%

Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies

Dube¹,

McLachlan²,

Zanamwe³

et al. 2020

Preprint

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Computational models that need to incorporate domain knowledge for realistic solutions to problems often lead to technologies that get transferred to developing countries. The support for managing the knowledge incorporated into these technologies is important for customisation to suit local conditions. This work investigates this problem through the challenge of incorporating food and nutrition therapy guidelines (FNTG) into ICT-based solution models for the meal planning problem (MPP) for HIV/AIDS patients in developing countries. An experiment is undertaken to demonstrate the limitations of existing approaches and framework is investigated for manageable incorporation of knowledge into solution models. The paper contributes a clear understanding of, and directions for addressing, the problem of support for managing the knowledge incorporated into solutions models to support customisability of technologies. The significance of this contribution is that solutions will allow resulting technologies to be customised for use in different global contexts.

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“…In this work, we propose a multi-objective formulation of the Menu Planning Problem (MPP) [10], which we will refer to as the Multi-objective Menu Planning Problem (MMPP). Firstly, school canteens are in use mainly at lunchtime, so the MMPP only focuses on recommending lunch menus, thus excluding the remaining daily meals.…”

Section: Introductionmentioning

confidence: 99%

Application of Multi-Objective Evolutionary Algorithms for Planning Healthy and Balanced School Lunches

et al. 2020

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A multi-objective formulation of the Menu Planning Problem, which is termed the Multi-objective Menu Planning Problem, is presented herein. Menu planning is of great interest in the health field due to the importance of proper nutrition in today’s society, and particularly, in school canteens. In addition to considering the cost of the meal plan as the classic objective to be minimized, we also introduce a second objective aimed at minimizing the degree of repetition of courses and food groups that a particular meal plan consists of. The motivation behind this particular multi-objective formulation is to offer a meal plan that is not only affordable but also varied and balanced from a nutritional standpoint. The plan is designed for a given number of days and ensures that the specific nutritional requirements of school-age children are satisfied. The main goal of the current work is to demonstrate the multi-objective nature of the said formulation, through a comprehensive experimental assessment carried out over a set of multi-objective evolutionary algorithms applied to different instances. At the same time, we are also interested in validating the multi-objective formulation by performing quantitative and qualitative analyses of the solutions attained when solving it. Computational results show the multi-objective nature of the said formulation, as well as that it allows suitable meal plans to be obtained.

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A Review on Automated Menu Planning Approaches

Cited by 10 publications

References 85 publications

SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals

SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals

Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies

Application of Multi-Objective Evolutionary Algorithms for Planning Healthy and Balanced School Lunches

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