Examples of using Genetic algorithm in English and their translations into Greek
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The Genetic Algorithm.
Optimization performed with a genetic algorithm.
The Genetic Algorithm overcomes these problems.
Parallel implementations of genetic algorithms come in two flavors.
Genetic algorithm and genetic programming.
How does the genetic algorithm work?
Genetic algorithms and genetic programming.
So in essence a genetic algorithm works like this: 1.
Genetic algorithm works on a population of individuals.
This is possible within the framework of a genetic algorithm.
A genetic algorithm predicts the vertical growth of cities.
The parameters of this machine were optimized with genetic algorithm.
Genetic algorithms in robot motion planning(Nearchou, 1996).
Then, this one has to be tested within the context of generalized genetic algorithms.
The method of Genetic Algorithms is inspired by biology.
The algorithm is integrated into the MatLab environment where the optimization procedure is executed utilizing a genetic algorithm.
A genetic algorithm is used to solve the optimization problem.
I could program that myself, but instead I'm going to use a genetic algorithm to evolve programs to do this task.
A genetic algorithm is applied to solve the presented optimization problems.
In the late 1980s, General Electric started selling the world's first genetic algorithm product, a mainframe-based toolkit designed for industrial processes.
Genetic algorithms are proving to be useful for solving complex electromagnetic problems.
Holland's 1975 book Adaptation in Natural andArtificial Systems presented the genetic algorithm as an abstraction of biological evolution and gave a theoretical framework for adaptation under the GA.
Genetic algorithms and cellular automata to investigate biomedical and non-linear dynamical systems.
In fact GN Dashboard contains the same set of input dialogs when you try to solve Traveling Salesman Problem with Genetic Algorithm or if you try to solve handwriting recognition by using Backpropagation Neural Networks.
Jeffers uses a genetic algorithm to discover rules that describe habitat preferences for aquatic species in British rivers.
From fire flow and water quality simulations, to criticality and energy cost analysis,to advanced genetic algorithm optimization, WaterGEMS comes equipped with everything you need in a flexible multi-platform environment.
The genetic algorithm was formalized by John Holland in his 1975 book Adaptation in Natural and Artificial Systems.
One investigator, Mike Swanson of Juicy Bits, made a hypothesis which builds up the squircles' corners using a sequence of Bézier curves,which he refined using a genetic algorithm to optimize similarity with the official Apple shape.
The goal is to use a genetic algorithm to evolve a control program that is a strategy for Robby.
A genetic algorithm(GA) is a search heuristic that mimics the process of natural selection, and uses methods such as mutation and crossover to generate new genotype in the hope of finding good solutions to a given problem.