African Buffalo Optimization Algorithm for Personalized Diet Optimization
Asegunloluwa Eunice Babalola, Bolanle Adefowoke Ojokoh, Julius Beneoluchi Odili · 2020
Food provides our body energy, vitamins, and other essential nutrients needed by the body to sustain us for our day-to-day activities and to function properly. Malnutrition is a state of under-nutrition or over-nutrition that can lead to one or more Diet Related Diseases (DRDs). Therefore, a personalized diet optimization and recommendation is a vital area to be investigated when attempting to prevent DRDs and meet nutritional necessities is the objective of this study. African Buffalo Optimization (ABO) algorithm was compared with Particle Swarm Optimization (PSO) based on ease of convergence. ABO was applied to diet optimization because it produces very competitive result and it is also one of the recently developed metaheuristic. Its result was compared with Particle Swarm Optimization (PSO) because PSO is one of the commonly used metaheuristic. ABO was seen to achieve convergence in lesser time.