Biogeography-Based Optimization Algorithm for Designing of Planar Steel Frames

Keywords: Planar Steel Frames, Optimum Design, Stochastic Search Techniques, Biogeography-Based Optimization, Metaheuristics


The optimization can be defined as a solution of problem under specific conditions to achieve a specific purpose. Optimization strategies commonly used for solving of various problems and have gained great importance in recent years especially in engineering.  Evolving optimization methods over the years has many varieties such as shape optimization, topology optimization, size optimization etc. The latest trend of optimization methods is metaheuristics which are more useful with easy applicable to complex problems regarding to traditional optimization methods. So that metaheuristics have supplanted the traditional methods particularly in engineering by the time. In this study, a planar steel frame which is designed according to the requirements comprised by AISC-LRFD (American Institute of Steel Construction-Load and Resistance Factor Design) has been optimized by aid of biogeography-based optimization (BBO) algorithm.


Download data is not yet available.


I. Boussaid, A. Chatterjee, P. Siarry, and M. A. Nacer, ‘’Biogeography-based optimization for constrained optimization problems,’’ Comput Oper Res, vol. 39, no. 12, pp. 3293–3304, 2012.

S. Rajasomashekar and P. Aravindhababu, ‘’Biogeography based optimization technique for best compromise solution of economic emission dispatch,’’ Swarm Evol Comput, vol. 7, pp.47–57, 2012.

S. Kima, J. Byeonb, H. Yuc, and H. Liud, ‘’Biogeography-based optimization for optimal job scheduling in cloud computing,’’ Appl Math Comput, vol.247, pp. 266–280, 2014.

J. S. Wang, N. N. Shen, X. D. Ren, and G. N. Liu, “RBF neural network soft-sensor modeling of rotary kiln pellet quality indices optimized by biogeography-based optimization algorithm,” Journal of Chemical Engineering of Japan, vol. 48, no. 1, pp. 7–15, 2015.

P. K. Roy, S. P. Ghoshal, and S. S. Thakur, “Optimal reactive power dispatch considering flexible ac transmission system devices using biogeography-based optimization,” Electric Power Components and Systems, vol. 39, no. 8, pp. 733–750, 2011.

İ. Aydogdu, ‘’Cost optimization of reinforced concrete cantilever retaining walls under seismic loading using a biogeography-based optimization algorithm with Levy flights,’’ Eng Optimiz, doi: 10.1080/0305215X.2016.1191837, 2016

S. Çarbaş, “Optimum structural design of spatial steel frames via biogeography-based optimization,” Neural Computing and Applications, doi:10.1007/s00521-015-2167-6. 2016

İ. Aydoğdu, and A. Akin, “Biogeography based co2 and cost optimization of RC cantilever retaining walls.” in 17th International Conference on Structural Engineering, 2015, paper 1480, p. 5.

Load and Resistance Factor Design (LRFD), Vol. 1, Structural Members Specifications Codes. 3rd edn. American Institute of Steel Construction (AISC), Chicago, Illinois, 2001.

M. P. Saka and E. Dogan, "Design optimization of moment resisting steel frames using a cuckoo search algorithm", in Proc of The Eleventh International Conference on Computational Structures Technology, 2012, paper 71.

How to Cite
O. TUNCA and S. ÇARBAŞ, “Biogeography-Based Optimization Algorithm for Designing of Planar Steel Frames”, IJISAE, pp. 53-57, Dec. 2016.
Research Article