In genetic algorithms, the term of premature convergence means that a population for an optimization problem converged too early, resulting in being suboptimal. In this context, the parental solutions, through the aid of genetic operators, are not able to generate offspring that are superior to their parents. Premature Convergence can happen in case of loss of genetic variation (every individual in the population is identical, see convergence).
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- In genetic algorithms, the term of premature convergence means that a population for an optimization problem converged too early, resulting in being suboptimal. In this context, the parental solutions, through the aid of genetic operators, are not able to generate offspring that are superior to their parents. Premature Convergence can happen in case of loss of genetic variation (every individual in the population is identical, see convergence).
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- In genetic algorithms, the term of premature convergence means that a population for an optimization problem converged too early, resulting in being suboptimal. In this context, the parental solutions, through the aid of genetic operators, are not able to generate offspring that are superior to their parents. Premature Convergence can happen in case of loss of genetic variation (every individual in the population is identical, see convergence).
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