Computational Intelligence and Neuroscience

Research Article

Research on WNN Modeling for Gold Price Forecasting Based on Improved Artificial Bee Colony Algorithm

Algorithm 1

( )   initialize solution population using (5)
( )  set   
( )     for 1 : MCN, do
( )     for   1 : SN, do
( )          crossover and mutate using (8) in as many as randomly
     selected elements for the employed bee
( )         adopt greedy selection
( )          if better position is found for the employed bee, do
( )             
( )        else
( )          
( )      end if
( )    end for
( )    for   1 : SN, do
( )     crossover and mutate using (9) and (10) in one randomly selected
        element for the onlooker bee
( )         adopt greedy selection
( )            if better position is found for the onlooker bee, do
( )          
( )            else
( )          
( )           end if
( )        end for
( )       if    , do
( )         initialize the employed bee using (5),
( )       end if
( )       memorize current best solution
( )     end for
( )     output global optimum