According to the historical data of the time series of the constraints parameters in the nonlinear optimization problem,the values of the constraints parameters are modeled and predicted using GM( 1,1) method. Substituting the predicted values of the parameters into the grey nonlinear optimization problem,we obtain a determinate nonlinear optimization problem. Then,we design a multi- subgroup genetic algorithm genetic algorithm to solve the resulting problem. Moreover,we analyze the convergence of our metho...
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