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/ LKQ1,Q -Q1 + Q2 = 1000( Constrained Optimization Problems ), (Lagrange method) 4. , ( ) ,2LK = 300 .C = 3L+ 4K ......... (1) 2LK = 300 Q = 3L+ 4K + (2LK -300) =:(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. ( KarjalainenHerbert ) ( 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)- 8. -50 = (Population)- 9. 30 = (Generations)-60% = (Crossover Rate )-4 = (Bit Length)-4N1C1=L1=N2C2=L2=N3C3=L3=Value = n1 i1 + n2 i2 + n3 i1Cost = n1 c1 + n2 c2 + n3 c3 MAX n1, n2, n .MAXc=value(Fitness) (MAXc)(Cost)(Value) 10. ..n1=1011=11n2=0010=2n3=1001=9110008060N3=2N2=7N1=2