Examples of using Genetic algorithms in English and their translations into Russian
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Genetic algorithms in action.
Different heuristics genetic algorithms, local search, etc.
Genetic algorithms do not scale well with complexity.
The software uses machine learning and genetic algorithms.
Al Biles has applied genetic algorithms to the composition of jazz solos.
The method of improvement of mathematical model of recognition by means of genetic algorithms is offered.
GULP- Monte Carlo and genetic algorithms for atomic crystals.
Genetic algorithms are widely used in automated systems in all fields.
The range of problems to which genetic algorithms are applied is quite wide.
Genetic algorithms in particular became popular through the writing of John Holland.
We had some game theory,complexity theory, genetic algorithms, programming, network analysis etc.
Genetic algorithms have been used to solve a variety of complex optimization problems.
In 1975 he wrote the ground-breaking book on genetic algorithms,"Adaptation in Natural and Artificial Systems.
Keywords: identification of the person, biometrics, an eye iris of the eye,iris eyes, genetic algorithms.
Principles of hybridization of sorting-out GMDH and genetic algorithms, based on which a searching algorithm COMBI-GA has been constructed 11.
Software provides speech feature selection module using greedy add-del and genetic algorithms.
DNA machines during this time,we run unknown genetic algorithms, which we mistake for our aspirations and achievements, or stresses and frustrations.
Forecasting methods of stochastic time series; evaluating the effectiveness of forecasting and control methods based on neural networks and genetic algorithms;
The use of advanced computational tools andmethods such as genetic algorithms, neural networks and parallel computations improve the efficiency of safety analysis.
Genetic algorithms are also used in combination with other intelligent technologies, such as neural networks, expert systems and CBR.
The area of research within computer science that uses genetic algorithms is sometimes confused with computational evolutionary biology, but the two areas are not necessarily related.
Genetic algorithms in particular became popular through the work of John Holland in the early 1970s, and particularly his book Adaptation in Natural and Artificial Systems 1975.
Some other methods and approaches include the degrees of freedom analysis, symbolic computations, rule-based computations, constraint programming andconstraint propagation, and genetic algorithms.
One can also create strategies in a specialized sotfware, which thanks to genetic algorithms is able to find lots of strategies with nice equity curve in a short period of time with.
The basis for the structure of the framework is based on the author's method of inverse problems solving in topological spaces with the use of genetic algorithms.
Hybrid systems include fuzzy logic,artificial neural networks, genetic algorithms, expert systems and are effective in solving numerous real problems of different areas.
The decisive argument why to choose ATS is the incomparably higher speed of building, backtesting, optimisation, androbustness testing of trading systems for example by employing genetic algorithms.
He became known in the 1990s for his research on the use of genetic algorithms to evolve artificial neural networks using three-dimensional cellular automata inside field programmable gate arrays.
Research in GAs remained largely theoretical until the mid-1980s,when The First International Conference on Genetic Algorithms was held in Pittsburgh, Pennsylvania.
One such technique, genetic algorithms, has been used for MSA production in an attempt to broadly simulate the hypothesized evolutionary process that gave rise to the divergence in the query set.