Intelligent Local Search for an Optimal Control of Diabetic Population Dynamics

Abdellatif, El Ouissari; Karim, El Moutaouakil; Hicham, Baïzri; Chellak, Saliha

doi:10.1134/s2070048222060047

Cited by 10 publications

(12 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is important to note that mathematical programming models of feeding problems do not take into account the variability of nutrients in foods. Recall artificial intelligence techniques [22,23,24,25,26,27] in particular fuzzy logic [28,29,30,31] are being used to deal with the uncertainty associated with the parameters of the diet problem. Our problem was first presented in [20] in which the objectives are robust and presented separately as two singleobjective robust optimization problems.…”

Section: Multiobjectives Optimization Diet Modelmentioning

confidence: 99%

A Multiobjective Diet Planning Model for Diabetic Patients in the Moroccan Health Context Using Particle Swarm Intelligence

Ahourag,

El Moutaouakil,

Elkari

et al. 2024

Stat., optim. inf. comput.

View full text Add to dashboard Cite

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.

show abstract

Section: Multiobjectives Optimization Diet Modelmentioning

confidence: 99%

A Multiobjective Diet Planning Model for Diabetic Patients in the Moroccan Health Context Using Particle Swarm Intelligence

Ahourag,

El Moutaouakil,

Elkari

et al. 2024

Stat., optim. inf. comput.

View full text Add to dashboard Cite

show abstract

“…Diabetes can lead to serious complications, among them vision loss, cardiovascular problems, kidney insufficiency, cerebrovascular accidents, nerve damage and lower-limb amputations. The key measures capable of mitigating this damage include appropriate medication, adapted physical exercise [2] and personalized diet [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…Numerical methods employing Pontryagin's maximum principle result in controls that are prohibitively resource-hungry in terms of both personnel and material. To overcome this problem, the authors of [2] used several heuristic methods to estimate a control by introducing an adequate objective function that makes a compromise between the components of the model proposed in [8]. However, focusing on a single objective leads to controls that heavily minimize certain compartments at the detriment of others.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization for Controlling the Dynamics of the Diabetic Population

et al. 2023

View full text Add to dashboard Cite

To limit the adverse effects of diabetes, a personalized and long-term management strategy that includes appropriate medication, exercise and diet has become of paramount importance and necessity. Compartment-based mathematical control models for diabetes usually result in objective functions whose terms are conflicting, preventing the use of single-objective-based models for obtaining appropriate personalized strategies. Taking into account the conflicting aspects when controlling the diabetic population dynamics, this paper introduces a multi-objective approach consisting of four steps: (a) modeling the problem of controlling the diabetic population dynamics using a multi-objective mathematical model, (b) discretizing the model using the trapezoidal rule and the Euler–Cauchy method, (c) using swarm-intelligence-based optimizers to solve the model and (d) structuring the set of controls using soft clustering methods, known for their flexibility. In contrast to single-objective approaches, experimental results show that the multi-objective approach obtains appropriate personalized controls, where the control associated with the compartment of diabetics without complications is totally different from that associated with the compartment of diabetics with complications. Moreover, these controls enable a significant reduction in the number of diabetics with and without complications, and the multi-objective strategy saves up to 4% of the resources needed for the control of diabetes without complications and up to 18% of resources for the control of diabetes with complications.

show abstract

“…Health conditions such as diabetes, cardiovascular disease, obesity, and cancer are greatly influenced by unbalanced diets [1][2][3][4][5]. To maintain a high life quality, healthy diets help control the development of chronic diseases and attenuate the risks of these diseases.…”

Section: Introductionmentioning

confidence: 99%

Hybrid firefly genetic algorithm and integral fuzzy quadratic programming to an optimal Moroccan diet

Moutaouakil¹,

Ahourag²,

Chakir³

et al. 2023

Math. Model. Comput.

View full text Add to dashboard Cite

In this paper, we solve the Moroccan daily diet problem based on 6 optimization programming (P) taking into account dietary guidelines of US department of health, human services, and department of agriculture. The objective function controls the fuzzy glycemic load, the favorable nutrients gap, and unfavorable nutrient excess. To transform the proposed program into a line equation, we use the integral fuzzy ranking function. To solve the obtained model, we use the Hybrid Firefly Genetic Algorithm (HFGA) that combines some advantages of the Firefly Algorithm (FA) and the Genetic Algorithm (GA). The proposed model produces the best and generic diets with reasonable glycemic loads and acceptable core nutrient deficiencies. In addition, the proposed model showed remarkable consistency with the uniform distribution of glycemic load of different foods.

show abstract

Intelligent Local Search for an Optimal Control of Diabetic Population Dynamics

Cited by 10 publications

References 32 publications

A Multiobjective Diet Planning Model for Diabetic Patients in the Moroccan Health Context Using Particle Swarm Intelligence

A Multiobjective Diet Planning Model for Diabetic Patients in the Moroccan Health Context Using Particle Swarm Intelligence

Multi-Objective Optimization for Controlling the Dynamics of the Diabetic Population

Hybrid firefly genetic algorithm and integral fuzzy quadratic programming to an optimal Moroccan diet

Contact Info

Product

Resources

About