Parameter Determination of Milling Process Using a Novel Teaching-Learning-Based Optimization Algorithm

Pseudocode 5

The pseudocode of DATLBO algorithm.

Input: , , , , , , FESMAX; ; ; ;

= 2.5; = 0.25 = 0.001; = 0.9; = 0.1; = 2; = 3;

(1) ;

(2) Generate an initial population: ;

(3) FES = ; ;

(4) While FES <= FESMAX

(6) Evaluate the objective function values: ;

(7) [, ] = min(fitness);

(7) Find the best learner: ;

(8) = mean();

(9)  For  

(10)    = round(1 + rand);

(11)    For  

(12)    ;

(13)    If  

(14)   

(15)    End If

(16)    If  

(17)    ;

(18)    End If

(19)    End For

(20)  End For

(21) sf = ; [pp, mm] = sort(fitness); fitness = pp; (mm,:)

(22)  For  

(23)   For   to do

(24)    If  

(25)    ;

(26)    Else

(27)    ;

(28)    End If

(29)   End For

(30)  End For

(31)   index₁ = roulette wheel 1 (fitness, , );

(32)   For  

(33)  For   to do

(34)   ;

(35)  End For

(36)   ;

(37)    If  

(38)    ;

(39)    End If

(40)   End For

(41)   index₂ = roulette wheel 2 (fitness, , , );

(42)   For  

(43)    For   to do

(44)    For  

(45)     For   to do

(46)      ;

(47)      End For

(48)    End For

(49)   ;

(50)     ;

(51)     If  

(52)     ;

(53)     End If

(54)   End For

(55)   End For

End