Uneingeschränkter Zugang

Optimization of Trusses With Self-Adaptive Approach In Genetic Algorithms


Zitieren

Blachut J., Eschenauer H.A.; Emerging methods for multidisciplinary optimization. CISM No.425. Springer, Wien, New York, 200110.1007/978-3-7091-2756-8 Search in Google Scholar

Goldberg D.E.; Genetic algorithms in search, optimization and machine learning. Addison-Wesley Publishing Company, Inc., 1989 Search in Google Scholar

Coello C.A., Christiansen A.D.; Multiobjective optimization of trusses using genetic algorithms. Computers and Structures, Vol.75, 2000; p.647-66010.1016/S0045-7949(99)00110-8 Search in Google Scholar

Grygierek K.; Samoadaptacyjna metoda algorytmów genetycznych w optymalizacji przestrzennych kratownic (Self-adaptive method of genetic algorithm in optimization of spatial truss structures). Modelowanie Inżynierskie, Vol.52, 2014; p.80-86 (in Polish) Search in Google Scholar

Erbatur F., Hasancebi O., Tutuncu I., Kilic H.; Optimal design of planar and space structures with genetic algorithms. Computers and Structures, Vol.75, 2000; p.209-22410.1016/S0045-7949(99)00084-X Search in Google Scholar

Degertekin S.O., Saka M.P., Hayalioglu M.S.; Optimal load and resistance factor design of geometrically nonlinear steel space frames via tabu search and genetic algorithm. Engineering Structures, Vol.30, 2008; p.197-20510.1016/j.engstruct.2007.03.014 Search in Google Scholar

Hayalioglu M.S.; Optimum design of geometrically non-linear elastic-plastic steel frames via genetic algorithm. Computers and Structures, Vol.77, 2000; p.527-53810.1016/S0045-7949(99)00221-7 Search in Google Scholar

Daloglu A.T., Artar M., Ozgan K ., Karakas A.; Optimum design of steel space frames including soilstructure interaction. Structural and Multidisciplinary Optimization, Vol.54, 2016; p.117-13110.1007/s00158-016-1401-x Search in Google Scholar

Ali N.B., Sellami M., Cutting-Decelle A.F., Mangin J.C.; Multi-stage production cost optimization of semirigid steel frames using genetic algorithms. Engineering Structures, Vol.31, 2009; p.2766-277810.1016/j.engstruct.2009.07.004 Search in Google Scholar

Cheng J.; Optimum design of steel truss arch bridges using a hybrid genetic algorithm. Journal of Constructional Steel Research, Vol.66, 2010; p.1011-101710.1016/j.jcsr.2010.03.007 Search in Google Scholar

Kwak H.G., Kim J.; An integrated genetic algorithm complemented with direct search for optimum design of RC frames. Computer-Aided Design, Vol.41, 2009; p.490-50010.1016/j.cad.2009.03.005 Search in Google Scholar

Lim J.C., Karakus M., Ozbakkaloglu.; Evaluation of ultimate conditions of FRP-confined concrete columns using genetic programming. Computers & Structures, Vol.162, 2016; p.28-3710.1016/j.compstruc.2015.09.005 Search in Google Scholar

Kawamura, H., Ohmori, H., Kito, N.; Truss topology optimization by a modified genetic algorithm. Structural and Multidisciplinary Optimization, Vol.23, 2002; p.467-47210.1007/s00158-002-0208-0 Search in Google Scholar

Hajela P., Lee E.; Genetic algorithms in truss topological optimization. International Journal of Solids and Structures, Vol.32, No.22, 1995; p.3341-335710.1016/0020-7683(94)00306-H Search in Google Scholar

Lingyun W., Mei Z., Guangming W., Guang M.; Truss optimization on shape and sizing with frequency constraints based on genetic algorithm. Computational Mechechanics, Vol.35, 2005; p.361-36810.1007/s00466-004-0623-8 Search in Google Scholar

Li D., Chen S., Huang H.; Improved genetic algorithm with two-level approximation for truss topology optimization. Structural and Multidisciplinary Optimization, Vol.49, 2014; p.795-81410.1007/s00158-013-1012-8 Search in Google Scholar

Boithias F., Mankibi M,. Michel P.; Genetic algorithms based optimization of artificial neural network architecture for building’s indoor discomfort and energy consumption prediction. Building Simulation, Vol.5, 2015; p.95-10610.1007/s12273-012-0059-6 Search in Google Scholar

Bekiroglu S., Dede T., Ayvaz Y.; Implementation of different encoding types on structural optimization based on adaptive genetic algorithm. Finite Elements in Analysis and Design, Vol.45, 2009; p.826-83510.1016/j.finel.2009.06.019 Search in Google Scholar

Dede T., Bekiroglu S., Ayvaz Y.; Weight minimization of trusses with genetic algorithm. Applied Soft Computing, Vol.11, 2011; p.2565-257510.1016/j.asoc.2010.10.006 Search in Google Scholar

Varnamkhasti M.J., Lee L.S.; A fuzzy genetic algorithm based on binary encoding for solving multidimensional knapsack problem. Journal of Applied Mathematics, Article ID 703601, 201210.1155/2012/703601 Search in Google Scholar

Srinivas M., Patnaik L.M.; Adaptive probabilities of crossover and mutation in genetic algorithms. IEEE Transaction on Systems, Man and Cybernetics, Vol.24, No.4, 1994; p.656-66710.1109/21.286385 Search in Google Scholar

Togan V., Daloglu A.T.; Optimization of 3D trusses with adaptive approach in genetic algorithms. Engineering Structures, Vol.28, 2006; p.1019-102710.1016/j.engstruct.2005.11.007 Search in Google Scholar

Hu X.B., Wu S.F.; A self-adaptive genetic algorithm based on fuzzy mechanism. IEEE Congress on Evolutionary Computation (CEC 2007), Singapore, 2007; p.4646-465210.1109/CEC.2007.4425081 Search in Google Scholar

Razali N.M., Geraghty J.; Genetic algorithm performance with different selection strategies in solving TSP. Proceedings of the World Congress on Engineering, Vol.2, London, UK, 2011 Search in Google Scholar

Sheng H.G., Chen Y.Y., Xia W.K., Gu G., Ting H.X.; Parameters selection of fitness scaling in genetic algorithm and its application. Chinese Control and Decision Conference, Xuzhou, China, 2010; p.2475-2480Search in Google Scholar

Yager, R.R., Filev, D.P.; Essentials of Fuzzy Modeling and Control. John Wiley & Sons, New York, 1994 Search in Google Scholar

Tang W., Tong L., Gu Y.; Improwed genetic algorithm for design optimization of truss structures with sizing, shape and topology variables. International Journal for Numerical Methods in Engineering, Vol.62, 2005; p.1737-176210.1002/nme.1244 Search in Google Scholar

Wu S-J., Chow P-T.; Integrated discrete and configuration optimization of trusses using genetic algorithms. Computers and Structures, Vol.55, No.4, 1995; p.695-70210.1016/0045-7949(94)00426-4 Search in Google Scholar

Thierauf G., Cai J.; Parallelization of the evolution strategy for discrete structural optimization problems. Computer-Aided Civil and Infrastructure Engineering, Vol.13, 1998; p.23-3010.1111/0885-9507.00082 Search in Google Scholar

Lee K. S., Geem Z. W., Lee S. H,. Bae K. W.; The harmony search heuristic algorithm for discrete structural optimization. Engineering Optimization, Vol.37, No.7, 2005; p.663-68410.1080/03052150500211895 Search in Google Scholar

Li L. J., Huan, Z. B., Liu, F. A.; A meta heuristic particle swarm optimization method for truss structures with discrete variables. Computer and Structures, Vol.87, 2009; p.435-44310.1016/j.compstruc.2009.01.004 Search in Google Scholar

Dede T.; Application of teaching–learning-based optimization algorithm for the discrete optimization of truss structures. KSCE Journal of Civil Engineering, Vol.18, No.6, 2014; p.1759-176710.1007/s12205-014-0553-8 Search in Google Scholar

Wu S. J., Chow P. T.; Steady-state genetic algorithm for discrete optimization of trusses. Computer and Structures, Vol.56, No.6, 1995; p. 979-99110.1016/0045-7949(94)00551-D Search in Google Scholar

Rukki; Kwadratowe kształtowniki stalowe (Square hollow profiles). http://www.ruukki.pl/Stal/Ksztaltowniki-zamkniete/Kwadratowe-kszta%C5% 82towniki-zamkniete/Konstrukcyjne-ksztaltownikizamkniete-S355J2H-i-inne-wg-EN-10219-o-przekro-ju-kwadratowym (in Polish) Search in Google Scholar

eISSN:
1899-0142
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Architektur und Design, Architektur, Architekten, Gebäude