Hashemi, S.H., Mousavi Dehghani, S.A., Samimi, S.E., et al. (2020) Performance Comparison of GRG Algorithm with Evolutionary Algorithms in an Aqueous Electrolyte System. Modeling Earth Systems and Environment, 6, 2103-2110.
https://doi.org/10.1007/s40808-020-00818-6

has been cited by the following article:

• TITLE: Optimization Model: Resource Distribution for Risk Factors of Type 2 Diabetes Prevention

  AUTHORS: Kanika Misra

  KEYWORDS: Optimization, Algorithms, Application Based Solution, Diabetes, Resources, Solver, Excel, Objective Function

  JOURNAL NAME: Open Journal of Optimization, Vol.12 No.1, March 27, 2023

  ABSTRACT: Type 2 Diabetes, a lifestyle disease, can be prevented/delayed by adopting a healthy lifestyle. Awareness of the same amongst the citizens can be one of the best ways to initiate a decline in the positive census of the disease. We use this paper to illustrate an optimization model where the budget can be distributed based on the census data of the risk factors involved. It uses a non-linear programming model and can easily be modified into a linear one. The alternative options and constraints too, are mentioned in the paper. The results show that the mid-western states need more share of the allocation based on risk factors. The model distributes the percentage of the budget allocated to different states based on a fixed risk factor constraint.