Examples of using Genetic algorithms in English and their translations into Portuguese
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The Genetic Algorithms formulate algorithmic optimization strategies inspired in the principles observed in the national evolution
As the area of genetic algorithms is very wide,
We tried to come up with a way to use genetic algorithms to create a new type of concentrator.
with the Inductive Logic and Genetic Algorithms being examples of technologies that can implement the summarization.
In this application, some dispatching rules and genetic algorithms were developed aiming better results.
also bring genetic algorithms in.
Decision Tree, Genetic Algorithms AGs, Fuzzy logic and Statistics.
The synthesis model is integrated with a multi-objective optimization model based on genetic algorithms specifically, the nsga ii algorithm. .
so they are looking for some alternative methods- example of these methods are genetic algorithms.
Gaffitter: File subsets extractor based on genetic algorithms(package info),
Bayesian Classifiers and Genetic Algorithms.
neural net architectures, genetic algorithms, and multi-agent systems
Biased random-key genetic algorithms applied in the optimal allocation of capacitor banks in distribution systems, BP. IC.
To perform the optimization, the multiobjective genetic algorithms nsga-ii and spea2 are compared,
This work presents a study on the use of genetic algorithms method to obtain the optimal design of reinforced concrete beams with rectangular cross-section subjected to bending moments and shear.
The fluid logic and genetic algorithms allow us to design a variable artificial brain.
Genetic algorithms will be used to establish the best combinations of cross sections of the beams
The multi-objective genetic algorithms(especially the nsga ii)
In this work, we implement two genetic algorithms for solving different types of geophysical inverse problems of interest.
The purpose of this project is to study efficient models for paralleling genetic algorithms and PSO at IEN's cluster,