Examples of using Genetic algorithms in English and their translations into Croatian
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More advanced genetic algorithms.
Genetic algorithms for multiobjective optimization.
This is using some kind of genetic algorithms.
Genetic algorithms are great for certain things; I suspect I know what they're bad at, and I won't tell you.
He was talking about genetic algorithms, quantum teleportation.
Quantum teleportation. He was talking about genetic algorithms.
He was talking about genetic algorithms, quantum teleportation. He said he was about to change everything. Science, medicine, religion.
Optimisation of railway track maintenance and renewal works by genetic algorithms.
Use of unconventional computer procedures such as genetic algorithms, neural networks and fuzzy systems to solve practical problems;
Optimisation of railway track maintenance and renewal works by genetic algorithms.
Decision support systems and genetic algorithms are used in this study to optimise railway track maintenance and renewal activities.
Guler, H.: Optimisation of railway track maintenance and renewal works by genetic algorithms, GRAĐEVINAR, 68(2016) 12, pp.
This method, based on genetic algorithms, is best when your model uses IF, CHOOSE, or LOOKUP with arguments that depend on the variable cells.
Research goals: Since 1986, the research of neural networks and genetic algorithms as separate disciplines has progressed quickly.
Abstract This paper describes a new approach to optimisation of railway track maintenance andrenewal works via genetic algorithms.
I wonder how much you have attempted to study our material before offering this'critique', however, because if you had searched on our site,typing in the words'genetic algorithms' would have brought up eight matches, of which the first one was an article by Dr Don Batten on that very subject.
CoreWar will be our playground for the rest of the project. We will take a look at several topics.The focus will be on evolution-inspired methods, such as genetic programming and genetic algorithms in general.
Solver has an improved user interface, a new Evolutionary Solver, based on genetic algorithms, that handles models with any Excel functions, new global optimization options, better linear programming and nonlinear optimization methods, and new Linearity and Feasibility reports.
In other fields as diverse as electronic and traffic systems design, as well as in cutting-edge neurophysiological research,evolutionary concepts are used to develop optimal solutions to complex problems through an approach called'genetic algorithms' or'neural network analysis.
I think in the next 20 years, if we can get rid of all of the traditional approaches to artificial intelligence,like neural nets and genetic algorithms and rule-based systems, and just turn our sights a little bit higher to say, can we make a system that can use all those things for the right kind of problem?
As part of this skill, students will learn about the genetic algorithms, ant colony optimization algorithm, particle swarm optimization algorithm, artificial immune algorithms and the algorithm of differential evolution, with examples of single- and multi-objective optimization of continuous and combinatorial problems.
Genetic algorithm parallelization.
Application of genetic algorithm.
Genetic algorithm, storm-sewer networks, optimization, hydraulic design.
Genetic algorithm applied to the problem of combinatorial optimization.
Genetic algorithm applied to the optimization problem of continuous functions.
The paper shows how genetic algorithm could be successfully applied in scheduling model to solve the problem of plan variant.
The automatic pipe diameter optimization procedure is based on a genetic algorithm that mimics the natural selection process to calculate an optimal solution.
A genetic algorithm based on hydraulic optimization is applied in the paper in order to achieve the lowest possible costs, the most appropriate pipe diameter, and the most favourable longitudinal slope values.
In order to find optimal cutting parameters, the genetic algorithm( GA) has been used as an optimal solution finder.