Abstract
Parents of children diagnosed with autism or autism spectrum disorder (ASD) often deal with many kinds of food-related challenges. These can include many things, like allergies or may be the child has a hard time swallowing. The children may be picky eaters or hate certain foods and refuse to eat any of them. Autism is a complex brain disorder. While it may seem that cutting out certain foods could relieve autism child’s symptoms, it might cause more harm. In Malaysia, the use of mathematical modeling in creating a healthy menu for autism children is limited. Moreover, manually planning a menu is complicated, inefficient, and inaccurate, lacks variety, no consumer preferences, and flexibility, no local recipes incomplete number of nutrient and food groups, does not meet the nutrient’s boundaries and is time-consuming. This study proposes a new mathematical model for solving menu planning issues using the optimization method that increases the necessary nutrient intake. Balanced nutrients are required by the autism children. Minimizing the budget will also help to overcome all the problems mentioned. Three optimization methods will be used, namely, Linear Programming, Integer Programming, and Binary Programming as a proposal to solve the diet problem for Autism children aged 7–12 years old.
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Acknowledgements
Fundamental Research Grant Scheme (FRGS) Number K175 (FRGS/1/2019/STG06/UTHM/02/2) from the Ministry of Higher Education Malaysia (MOHE) and GPPS H419 Universiti Tun Hussein Onn Malaysia (UTHM).
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Baharom, F.B., Zailani, N.A.M., Sufahani, S.F. (2022). Binary Programming for Primary School Diet Among Autism Children in Malaysia. In: Kaiser, M.S., Ray, K., Bandyopadhyay, A., Jacob, K., Long, K.S. (eds) Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering. Lecture Notes in Networks and Systems, vol 348. Springer, Singapore. https://doi.org/10.1007/978-981-16-7597-3_15
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