A Differential Evolution Algorithm for Computing Caloric-Restricted Diets - Island-Based Model

Silva, João Gabriel Rocha; Carvalho, Iago A.; Goliatt, Leonardo; Vieira, Vinicus da Fonseca; Xavier, Carolina Ribeiro

doi:10.1007/978-3-319-62392-4_28

Cited by 2 publications

(1 citation statement)

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“…The main results of this work are shown in Tables 5 and 6, where it is verified that, for the best parameters set for GA and DE islands the island migrations improves the average calories of the final solutions Notice that the hybrid model implementing GA and DE runs the same number of evaluations of the objective function. IBHEA results achieved better performance when compared to the results present by Silva in [20], which used a DE with island implementation to solve the CRDP.…”

Section: Computational Experimentsmentioning

confidence: 66%

An island-based hybrid evolutionary algorithm for caloric-restricted diets

et al. 2021

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The most popular and successful way to maintain a healthy body is to have a rich and balanced diet, combined with physical exercise. Since it was proposed the diet dilemma, several works in the literature suggested calculating a diet that respects an individual's nutritional needs. In the Caloric-Restricted Diet Problem (CRDP), the goal is to find a reduced-calorie diet that meets an individual's dietary needs aiming for weight loss. This paper proposes a Hybrid Island-Based Evolutionary Algorithm (IBHEA) that combines a Genetic Algorithm (GA) with a Differential Evolution (DE) communicating through a migration policy to solve the CRDP. Computational experiments showed that IBHEA outperforms the non-distributed and non-hybrid implementations, generating a greater variety of diets with a small calorie count.

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Section: Computational Experimentsmentioning

confidence: 66%