Examples of using Genetic algorithm in English and their translations into German
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Genetic algorithm Extern doFollow.
We applied the genetic algorithm.
Part 4: Genetic algorithms to the examination of the draft space.
And also bring genetic algorithms in.
Genetic algorithms in search, optimization, and machine learning.
Software==EGAD: A Genetic Algorithm for protein Design.
Structure determination with genetic algorithms.
The solver uses a Genetic Algorithm and is an innovative development.
Search for solutions in multidimensional spaces with the aid of genetic algorithms GA.
Each"explorer" in genetic algorithm terminology.
The methodological approach willattempt to keep these increases within an appropriate range through the skilful selection of heuristic methods, such as genetic algorithms, and the use of analogy models.
For solving the problem a genetic algorithms will be used.
Usually, with a genetic algorithm on a computer today, with a three gigahertz processor, you can solve many formerly intractable problems in just a matter of minutes.
Resource Leveling by Genetic Algorithm Solver.
As a result of this project, ASD GmbH has a validated its methodfor a sequential simulation of nano-structures and a subsequential automatical optimization of design and process parameters using a genetic algorithm.
He was working with an alloy with a genetic algorithm built into it.
Neural networks, genetic algorithms, association rules and case-based reasoning.
The supports of the load-bearingstructure were precisely positioned using a genetic algorithm with predetermined criteria.
Resource Leveling by Genetic Algorithm Solver The solver can optimize the project plan for you.
Mining. Fox uses an intelligent combination of a multivariate approach, decision trees, and genetic algorithms- our GMDT Genetic Multivariate Decision Trees.
By using meta heuristics, such as genetic algorithms, the costs of a system design could be minimized in compliance with the respective requirements of performance and availability.
In Germany, this has led to evolution strategies(ES), in the USA to genetic algorithms(GA) and the concept of evolutionary programming EP.
So we took the same genetic algorithm that we used earlier to make that concentrator, which didn't work out for us, to optimize the Stirling engine, and make its design sizes and all of its dimensions the exact optimum to get the most power per dollar, irrespective of weight, irrespective of size, just to get the most conversion of solar energy, because the sun is free.
John Deere and Company have used genetic algorithms to optimize assembly line scheduling.
I thought about installing one or more sensors in my project and uses them to map the position of the engine in operation, and for triangulation,Add in a genetic algorithm that improves automatically the route used for thinning!
Search based software engineering, genetic algorithms, genetic programming, and machine learning.
In fact GN Dashboard contains the same set of input dialogs when youtry to solve Traveling Salesman Problem with Genetic Algorithm or if you try to solve handwriting recognition by using Backpropagation Neural Networks.
So you mentioned this idea of genetic algorithms automatically creating programs, not just debugging them.
And each of those copies has some random mutations, not unlike genetic evolution-- genetic mutations-- and then we use a genetic algorithm to select the members of the population that are the most fit, that is pass-- in our case fitness is measured in terms of regression test suites.
The last part lead to the development of genetic algorithms and their subsequent application in many real-world problems.