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genetic programming elements. Fuzzy regulator is included in direct control circuit of nonlinear dynamic

by the multipopulation genetic algorithm is proposed. The advantage of using coevolution with exchange by better

GA (genetic algorithm) to minimize the leakage and make uniform pressure. Results show

with trial and error and based on their experience or some experiments. This paper introduces a Genetic

Genetic algorithms and their applications in Computer Science

and application are described. The basic solution approach is used for the genetic algorithm construction

for explaining machine learning survival models. The algorithm is developed to ensure robustness to cases of a

Host genetic variations may influence a changing profile of biochemical markers and outcome

algorithm, there is a problem of crossover. Genetic programming performs a crossover only in certain points

of relevant information from a documentary database. As Genetic Algorithms (GA) are robust and efficient

Страница 6 из 4146