Describe the main feature of genetic algorithm wath requirement
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The whole fitness assignment, selection, recombination and mutation process is repeated until a stopping criterion is satisfied. Each generation is likely to be more adapted to the environment than the old one. The following figure shows the typical behavior of the genetic algorithm.
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Explanation:
The genetic algorithm differs from a classical, derivative-based, optimization algorithm in two main ways, as summarized in the following table. Generates a single point at each iteration. The sequence of points approaches an optimal solution. Generates a population of points at each iteration.
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