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Genetic Algorithms Genetic algorithms (GA) are optimisation methods mimicking the natural evolution. The population consisting of chromosomes improves towards a better solution (not necessarily the optimal one), as the result of different selection, crossover and mutation operations. Figure 1 illustrates the main principles of Genetic Algorithms. Chromosomes are the main components in Genetic Algorithms
