An island-based hybrid evolutionary algorithm for caloric-restricted diets
Copyright policy )An island-based hybrid evolutionary algorithm for caloric-restricted diets
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 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.
Artificial intelligence, Weight loss, Variety (cybernetics), Geometry, Constraint satisfaction, Multi-Objective Transportation Problem Optimization, Engineering, Endocrinology, Artificial Intelligence, Evolutionary algorithm, Machine learning, FOS: Mathematics, Caloric theory, Hybrid algorithm (constraint satisfaction), Obesity, Swarm Intelligence Optimization Algorithms, Internal medicine, Low calorie diet, Probabilistic logic, Constraint logic programming, Mathematical optimization, Body weight, Computer science, Programming language, Algorithm, Dilemma, Genetic algorithm, Control and Systems Engineering, Application of Genetic Programming in Machine Learning, Implementation, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Medicine, Caloric intake, Calorie, Mathematics
Artificial intelligence, Weight loss, Variety (cybernetics), Geometry, Constraint satisfaction, Multi-Objective Transportation Problem Optimization, Engineering, Endocrinology, Artificial Intelligence, Evolutionary algorithm, Machine learning, FOS: Mathematics, Caloric theory, Hybrid algorithm (constraint satisfaction), Obesity, Swarm Intelligence Optimization Algorithms, Internal medicine, Low calorie diet, Probabilistic logic, Constraint logic programming, Mathematical optimization, Body weight, Computer science, Programming language, Algorithm, Dilemma, Genetic algorithm, Control and Systems Engineering, Application of Genetic Programming in Machine Learning, Implementation, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Medicine, Caloric intake, Calorie, Mathematics
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).5 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!