arithmetic crossoverの例文

例文

  1. Crossover is implemented using arithmetic crossover operator . then unsymmetrical mutation is conducted using the new mutation operator which can expand the scope of chromosome gene value , at the same time , the chromosome with the highest fitness values are retained for each iteration . a lot of experiments are implemented to obtain the optimized initial weighs and bias
  2. On the base of analysing the shortcoming of genetic algotithms , three improved techniques for genetic algorithms are bring forward in this paper : fuzzy penalty fitness function , random dislocation arithmetic crossover , fuzzy parameter adjust policy , which improve genetic algorithms capability of global convergence and convergent speed . at the same time , the improved genetic algorithms are applied to nonlinear mixed integer problems and complex nonlinear function optimization

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