Examples of using Genetic algorithms in English and their translations into Romanian
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This is using some kind of genetic algorithms.
Chapter 5: Genetic algorithms and some kangaroos.
Evolve biomorphs using genetic algorithms.
Genetic algorithms are great for certain things;
I will be very short on genetic algorithms.
All fuzzy logic, genetic algorithms and neural network design.
For that we used artificial evolution-- genetic algorithms.
He was talking about genetic algorithms, quantum teleportation.
Of course, inexpensive microprocessors and a very important breakthrough-- genetic algorithms.
And we're learning from neural nets, genetic algorithms, evolutionary computing.
Genetic algorithms are great for certain things; I suspect I know what they're bad at, and I won't tell you.
It is still provided here though, for the people who are interested: Genetic algorithms and some kangaroos.
The fluid logic and genetic algorithms allow us to design a variable artificial brain.
A network of international laboratories with a patented methodology,based on advanced genetic algorithms of meta-analysis.
This replaces genetic algorithms, so the genetic-algorithm material now becomes optional(not required for the exam).
So we tried to come up with a way to use genetic algorithms to create a new type of concentrator.
Genetic algorithms: representation, evaluation function, genetic operators, parameters of genetic programs, the algorithm. .
Implementation of control strategies based on evolutionary techniques(fuzzy controllers, genetic algorithms, neural networks);
If the reproduction strategy is based on genetic algorithms, fitness values must be available for each individual beforehand.
So using that new twist, with the new criteria, we thought we could re-look at the Stirling engine, andalso bring genetic algorithms in.
This method, based on genetic algorithms, is best when your model uses IF, CHOOSE, or LOOKUP with arguments that depend on the variable cells.
The Monte Carlo method is not an example of an efficient algorithm in this specific sense,although evolutionary approaches like Genetic algorithms may be.
Using engines that we specifically designed with this purpose combined with ranking and genetic algorithms, we reach, together with your company experts, a high degree of automation in planning tasks.
The programme encompasses algorithms analysis, network programming, distributed systems, databases, internet portals, artificial intelligence,neural networks and genetic algorithms.
Classic evolutionary algorithms include genetic algorithms, gene expression programming, and genetic programming.[1] Alternatively, distributed search processes can coordinate via swarm intelligence algorithms. .
The increased utilization of modern econometrics and other quantitative techniques(Monte Carlo experiments,neural networks, genetic algorithms, bayesian statistics, etc) in the applications.
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.
For this reason, it is often used as an example problem for various programming techniques, including nontraditional approaches such as constraint programming,logic programming or genetic algorithms.
TSP is a touchstone for many general heuristics devised for combinatorial optimization such as genetic algorithms, simulated annealing, tabu search, ant colony optimization, river formation dynamics(see swarm intelligence) and the cross entropy method.
Knapsack Problem solutions in many languages at Rosetta Code Dynamic Programming algorithm to 0/1 Knapsack problem Knapsack Problem solver(online) Solving 0-1-KNAPSACK with Genetic Algorithms in Ruby Codes for Quadratic Knapsack Problem.