Diet Optimization Techniques: A Review

Food choice selection has enormous effect on health as hale diets help sustain balanced body weight, enriched growth, and boost immune system. Malnutrition and hunger are conditions connected to poverty and have wrecked so many countries disturbing their creative and fruitful capacity. Diet optimization is a vital area to be investigated when attempting to prevent malnutrition and meet nutritional necessities in the heart of scarce knowledge and finance for proper diet. Several optimization algorithms exist which have been applied to numerous optimization problems. This study discusses four optimization algorithms applied to diet optimization problems. These four algorithms were chosen due to their novelty. The strengths and weaknesses of these algorithms were considered in addition. The study concluded that Particle Swarm Optimization gave the best diet optimization result when the result of each algorithm was compared. Its result was not only optimal but was also feasible and practicable in real-life situations.