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01 fl, Mol111mmad (1hozf Nrp. 3107 (J1007
Tnn aal lJ.11,,n J JO April l{~1 P rted WI uda s S pt mber 201
Dleetu,jui oleh : J. Prof. Ir. Priyo P'probo, M.S., Ph.D
( l1emblmb1ng I)
NIP. l,9!90911.1984031001
l. Dr. techn. Pujo AJi, S.T., M.T.
NIP.197302081998021001
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3. Endab Wahyuni., S.T., M. e., Ph.D NIP. 19700201, '199!122001
4. M. Hariadi, S.T., M.Sc., Ph.D NIP. 196912091997031002
S. Dr. teehn, Ir. Aswandy, NIDN. 0406116801
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Student Promotor Co-Promotor
: Mohammad Ghozi : 3107301007 : Prof Ir. Priyo Suprobo, M.S., Ph.D : DR.tee ~o Aji, S.T., M.T. •
Application of structure analyze program and genetic algori s (GA) have participated for optimization and steel structure design. Steel structure optimization will be carried out in great validity with the involved of conrmercial program. Problems remained to be solved were long required running time and also commercial programs were not designed as optimization tool. The methodology applied in this dissertation is the study of literature, making the program AGPK (Genetic Algorithm with Chromosome Repair) which is combination among GA method, chromosome repair process, parallel computing and commercial structural analysis program, Then the optimization process implemented using AGPK the five models of each structure as much as tbit ty ti rnes : 1) the model structure of 3-storey moment resisting frame system portal designed to AISC-ASD code, 2 model of the structure of 22-storey moment resisting frame system which regulations designed to AISC-ASD, 3) 10-storey structure model moment resisting frame system designed to AISC-LRFD, 4) structural model of the 15-storey moment resisting frame systems designed to BS5950 regulations 5 3 strorey eccentrically brace frame 3 storey designed to AISC-LRFD. From comparation between AGPK and GA, it is found that AGPK's wei t is 5.66 % until 30.05o/o lighter than GA's. From Generation and time computing comparation among AGPK's result with GA's result for getting the same weight : AGPK's generation are 22.000% until 83.33% shorter than GA's or save 5.70 until 71.58% time computing. From weight comparation among AGPK's result with other me euristic's: In first structure model, AGPK's weight is 8.53% lighter than Modified Genetic Algorithm and 4.91 % Ii ter than Modified Multi Deme Genetic Algorithm; In second structure model, AGPK's wei t is 9.64% li ter than Modified Genetic Algorithm and 0.41% Ii ter than Modi ed Genetic Algorithm; In third structure model, AGPK's wei t is 13.13 % Ii ter than Ant Colony Optimization and 10.56% Ii ter than Big Bang-Big Crunch; and In fourth structure model, AGPK's wei t is 5.66% Ii ter than GA and I 0. 72% Ii ter than Big Bang-Big Crunch. From this research, it can be concluded that AGPK provides better optimization
results,
es shorter 1.i111e than GAts and also better than other me
euristic methods . •
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:
timization, genetic algorithm GA, chromosome repairing, slto
