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- W4226272020 abstract "The most popular and successful way to maintain a healthy body is to have a rich and balanced diet combined with physical exercise. Since the diet dilemma was proposed, several works in the literature suggested calculating a diet that respects the nutritional needs of each person. In the Caloric-Restricted Diet Problem (CRDP), the goal is to find a reduced-calorie diet that meets these nutritional needs, enabling weight loss. This paper proposes an Island-Based Hybrid Evolutionary Algorithm (IBHEA) that uses a Genetic Algorithm (GA) and a Differential Evolution (DE) Algorithm with different parameters settings in different islands communicating through several migration policies to solve the CRDP. Computational experiments showed that IBHEA outperformed more than 5% compared with non-distributed and non-hybrid implementations, generating a greater variety of diets with a small calorie count." @default.
- W4226272020 created "2022-05-05" @default.
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- W4226272020 date "2021-11-26" @default.
- W4226272020 modified "2023-09-26" @default.
- W4226272020 title "An island-based hybrid evolutionary algorithm for caloric-restricted diets" @default.
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- W4226272020 doi "https://doi.org/10.1007/s12065-021-00680-0" @default.
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