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Evolutionary algorithms are optimization methods inspired by natural evolution. They usually search for the optimal solution in large space areas. In Evolutionary Algorithms it is very important to select an appropriate balance between the ability of the algorithm to explore and exploit the search space. The paper presents a hybrid system consisting of a Genetic Algorithm and an Evolutionary Strategy...
Excessive body weight, especially in the form of the so-called abdominal obesity (AO) is an important factor of the cardio-metabolic risks (CMR). The paper presents a fuzzy model of AO and CMR assessments based on such key indicators of anthropometric measurements as body mass index (BMI as a measure of the global adiposity) as well as waist circumference (WC) and waist-to-height ratio (WHtR) as AO...
The article presents the idea of a hybrid system for multiobjective optimization. The system consists of the genetic algorithm and the fuzzy logic driver. The genetic algorithm realizes the process of multiobjective optimization. The fuzzy logic driver uses data aggregated by the genetic algorithm and controls the process of evolution by modifying the probability of selection of individuals to the...
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