caa a22 4500 463243749 CHVBK 20180405153319.0 cr unu---uuuuu 170326e20071001xx s 000 0 eng 10.1007/s00158-007-0096-4 doi (NATIONALLICENCE)springer-10.1007/s00158-007-0096-4 Degertekin S. Civil Engineering Department, Dicle University, 21280, Diyarbakir, Turkey aut A comparison of simulated annealing and genetic algorithm for optimum design of nonlinear steel space frames [Elektronische Daten] [S. Degertekin] In this article, two algorithms are presented for the optimum design of geometrically nonlinear steel space frames that are based on simulated annealing and genetic algorithm. The design algorithms obtain minimum weight frames by selecting suitable sections from a standard set of steel sections such as the American Institute of Steel Construction (AISC) wide-flange shapes. Stress constraints of AISC Load and Resistance Factor Design (LRFD) and AISC Allowable Stress Design (ASD) specifications, maximum (lateral displacement) and interstorey drift constraints, and also size constraints for columns were imposed on frames. The algorithms were applied to the optimum design of three space frame structures, which have a very small amount of nonlinearity. The unconstrained form of objective function was applied in both optimum design algorithms, and constant penalty factors were used instead of gradually increasing ones. Although genetic algorithm took much less time to converge, the comparisons showed that the simulated annealing algorithm yielded better designs together with AISC-LRFD code specification. Springer-Verlag Berlin Heidelberg, 2007 Structural optimization nationallicence Simulated annealing nationallicence Genetic algorithm nationallicence Steel space frames nationallicence Load and resistance factor design nationallicence Structural and Multidisciplinary Optimization Springer-Verlag 34/4(2007-10-01), 347-359 1615-147X 34:4<347 2007 34 158 https://doi.org/10.1007/s00158-007-0096-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00158-007-0096-4 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Degertekin S. Civil Engineering Department, Dicle University, 21280, Diyarbakir, Turkey aut NATIONALLICENCE 773 0- Structural and Multidisciplinary Optimization Springer-Verlag 34/4(2007-10-01), 347-359 1615-147X 34:4<347 2007 34 158 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer