By Ashmetkov I. V.

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After a long period of time the pool of organisms becomes well adapted to its environment. However, the environment is dynamic. The predators and prey, as well as factors such as the weather and geological upheaval, are also constantly changing. These changes act to revise the optimization equation. That is what makes life (and genetic algorithms) interesting. 5 THE GENETIC ALGORITHM The genetic algorithm (GA) is an optimization and search technique based on the principles of genetics and natural selection.

1. 5. 375. Increasing the number of bits decreases the quantization error. 1. 8) yields an array of the quantized version of the variables. This chromosome has a total of Nbits = Ngene ¥ Nvar = 10 ¥ Nvar bits. As previously mentioned, the topographical map of Rocky Mountain National Park has 128 ¥ 128 elevation points. If x and y are encoded in two genes, each with Ngene = 7 bits, then there are 27 possible values for x and y. These values range from 40°15¢ £ y £ 40°16¢ and 105°37¢30≤ ≥ x ≥ 105°36¢.

Darwin refined his ideas during his voyage as naturalist on the Beagle, especially during his visits to the Galapagos Islands. Darwin’s theory of evolution was based on four primary premises. First, like begets like; equivalently, an offspring has many of the characteristics of its parents. This premise implies that the population is stable. Second, there are variations in characteristics between individuals that can be passed from one generation to the next. The third premise is that only a small percentage of the offspring produced survive to adulthood.

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