1. Usage Genetic Algorithm to Solve some
Economic Models
( Genetic Algorithm )
, ( Lagrange method)
-
(Economic Model) (EM)
Structural )

2. ( Equations
(EM)

3. ( Economically Optimal Production )
,
Q
-
Q = ( KL)1/θ
θ
L
K
Q1,Q
-
Q1 + Q2 = 1000
( Constrained Optimization Problems )
, (Lagrange method)

4. , (λ ) ,
2LK = 300
.
C = 3L+ 4K ......... (1)
2LK = 300
Q = 3L+ 4K + (2LK -300) λ
λ=:(
L = 14.14 , K = 10.6 ,
C
C = 3 (14.14) + 4 (10.6) = 84.8

5. (GA)
:( Optimization )
-1
:( Economic Models)
(GA)
: (Decision Making)
(GA)
: ( Neural Network Design)
.(GA)
( GA )
Risto ) (Franklin Allen)
-3

6. ( Karjalainen
Herbert )
( Michael Kope ) ( Dawid
-,
( Sylvie Geisendorf )
Alfons )
( Kathrin Happe ) ( Balmann
( Feryal Erhun ) ( Pmar Keskinocak )
( GA )
( GA)

7. ( Steps of the Proposed GA for finding the Optimal
solution for
some Constrained Economic Problems )
(GA)
:(Initial Data)
--
:A
:B
: (Initial Generation)
: (Fitness Value)
-

9. -
50 = (Population)
-

10. 30 = (Generations)
-
60% = (Crossover Rate )
-
4 = (Bit Length)
-4
N1
C1=
L1=
N2
C2=
L2=
N3
C3=
L3=
Value = n1 × i1 + n2 × i2 + n3 × i1
Cost = n1 × c1 + n2 × c2 + n3 × c3 ≤ MAX
n1, n2, n
.MAXc=
value
(Fitness)
(MAXc)
(Cost)
(Value)

11. .
.
n1=1011=11
n2=0010=2
n3=1001=9
11000
8060
N3=2
N2=7
N1=2