A Multiobjective Diet Planning Model for Diabetic Patients in the Moroccan Health Context Using Particle Swarm Intelligence
Abstract
Recommended diets have a central role to play in creating a healthy dietary environment that enables populations to adopt and maintain health-promoting dietary practices. It’s well known that foods with a low glycemic load (GL) help release a concentration of glucose in the blood, These can contribute to the prevention of various glycemia-elated health problems. We aim to address an optimization model for diets in the Moroccan context that controls both glycemic load and total meal costs. The application of a multiple objective particle swarm method which aggregates the problem’s restrictions with optimized objectives functions helps maintain dietary diversity and facilitates the search for trade-offs between objectives and problem-specific requirements.
Published
2024-02-21
How to Cite
Ahourag, A., El Moutaouakil, K., Elkari, B., Hammouni, A., Ourabah, L., & Chellak, S. (2024). A Multiobjective Diet Planning Model for Diabetic Patients in the Moroccan Health Context Using Particle Swarm Intelligence. Statistics, Optimization & Information Computing, 12(3), 605-616. https://doi.org/10.19139/soic-2310-5070-1947
Section
Research Articles
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