question: public static MovAvgModel minimize ( MovAvgModel model , EvictingQueue < Double > train , double [ ] test ) { double temp = 1 ; double minTemp = 0.0001 ; int iterations = 100 ; double alpha = 0.9 ; MovAvgModel bestModel = model ; MovAvgModel oldModel = model ; double oldCost = cost ( model , train , test ) ; double bestCost = oldCost ; while ( temp > minTemp ) { for ( int i = 0 ; i < iterations ; i ++ ) { MovAvgModel newModel = oldModel . neighboringModel ( ) ; double newCost = cost ( newModel , train , test ) ; double ap = acceptanceProbability ( oldCost , newCost , temp ) ; if ( ap > Math . random ( ) ) { oldModel = newModel ; oldCost = newCost ; if ( newCost < bestCost ) { bestCost = newCost ; bestModel = newModel ; } } } temp *= alpha ; } return bestModel ; }
target:  Runs the simulated annealing algorithm and produces a model with new coefficients that, theoretically fit the data better and generalizes to future forecasts without overfitting.