fuzzy quadratic programming

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

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) an

Optimal fuzzy deep daily nutrients requirements representation: Application to optimal Morocco diet problem

Solving the optimal diet problem necessarily involves estimating the daily requirements in positive and negative nutrients.  Most approaches proposed in the literature are based on standard nominal estimates, which may cause shortages in some nutrients and overdoses in others.  The approach proposed in this paper consists in personalizing these needs based on an intelligent system.  In the beginning, we present the needs derived from the recommendations of experts in the field of nutrition in trapezoidal numbers.  Based on this model, we generate a vast database.  The latter is used to educ