Abstract
In this chapter, the optimum design algorithm is presented for real-sized high-level steel frames under code provisions of LRFD (Load and Resistance Factor Design-American Institute of Steel Corporation) specifications. It is decided that in real-sized high-level steel frames structural elements are made of wide flange steel I-shape (W-shape) beams and columns. In the formulation of the optimization problem, design variables are chosen as the cross-sectional dimensions of steel profiles, namely, I-sections. Design pools are prepared for steel profiles so that the optimization algorithm can select appropriate steel profiles, construct I-sections for members of 3-D structure such that the weight of the real-sized high-level steel frame is minimized. In addition to design code requirements, geometrical constraints among its elements that are required for the manufacturability of the frame are also taken into account. This leads this type of optimum structural design problem turns into a discrete nonlinear programming problem whose solution is obtained by using the proposed Cuckoo Search (CS) algorithm which simulates the nesting and breeding of cuckoo birds. The applications in design examples have shown the robustness, effectiveness, and reliability of the CS algorithm in achieving the design optimization of real-sized high-level steel frames.
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References
Kirsch U (1981) Optimum structural design, concepts, methods, and applications. McGraw-Hill Book Company, New York
Haftka TR, Gurdal Z (1992) Elements of structural optimization. Kluwer Academic Publishers
Arora JS (1989) Introduction to optimum design. McGraw-Hill Book Company
Rao SS (2009) Engineering optimization; theory and practice, 4th edn. Wiley, Hoboken, New Jersey
Yang XS (2010) Engineering optimization. An introduction with metaheuristic applications. Wiley, Hoboken, New Jersey
Ney D (ed) (2018) Advancements in applied metaheuristic computing. IGI Global
Dey N, Ashour AS, Bhattacharyya S (eds) (2020) Applied nature-inspired computing: algorithms and case studies. Springer Singapore
Horst R, Pardolos PM (eds) (1995) Handbook of global optimization. Kluwer Academic Publishers
Horst R, Tuy H (1995) Global optimization. Springer, Deterministic Approaches
Paton R (1994) Computing with biological metaphors. Chapman & Hall, USA
Adami C (1998) An introduction to artificial life. Springer/Telos
Kochenberger GA, Glover F (2003) Handbook of metaheuristics. Kluwer Academic Publishers
De Castro LN, Von Zuben FJ (2005) Recent developments in biologically inspired computing. Idea Group Publishing, USA
Dreo J, Petrowski A, Siarry P, Taillard E (2006) Metaheuristics for hard optimization. Springer, Berlin, Heidelberg
Yang XS, Deb S (2009) Cuckoo search via Lévy flights. in: proceedings of the world congress on nature and biologically inspired computing, Coimbatore, India
Chakraborty S, Dey N, Samanta S, Ashour AS, Barna C, Balas MM (2017) Optimization of non-rigid demons registration using a cuckoo search algorithm. Cogn Comput 9(6):817–826
Li Z, Dey N, Ashour AS, Tang Q (2018) Discrete cuckoo search algorithms for two-sided robotic assembly line balancing problem. Neural Comput Applic 30(9):2685–2696
Binh HTT, Hanh NT, Dey N (2018) Improved cuckoo search and chaotic flower pollination optimization algorithm for maximizing area coverage in wireless sensor networks. Neural Comput Applic 30(7):2305–2317
AISC-LRFD (2001) Load and Resistance Factor Design (LRFD), vol 1, Struc-tural Members Specifications Codes, 3rd edn. American Institute of Steel Construction
Kameshki ES, Saka MP (2001) Genetic algorithm based optimum bracing design of non-swaying tall plane frames. J Consruct Steel Res 57:1081–1097
Hasancebi O, Bahcecioglu T, Kurc O, Saka MP (2011) Optimum design of high-rise steel buildings using an evolution strategy integrated parallel algorithm. Comput Struct 89:2037–2051
Kazemzadeh Azad S, Hasancebi O, Kazemzadeh Azad S (2014) Computationally efficient optimum design of large scale steel frames. Int J Optim Civil Eng 4(2):233–259
Saka MP, Aydogdu I, Hasancebi O, Geem ZW (2011) Harmony search algorithms in structural engineering. In: Yang XS, Koziel S (eds) Computational optimization and applications in engineering and industry. Studies in Computational Intelligence, vol 359. Springer, Berlin, Heidelberg
Park HS, Adeli H (1997) Distributed neural dynamics algorithms for optimization of large steel structures. J Struct Eng ASCE 123(7):880–888
Kaveh A, Bolandgerami A (2017) Optimal design of large-scale space steel frames using cascade enhanced colliding body optimization. Struct Multidisc Optim 55:237–256
Kaveh A, Ilchi Ghazaan M (2018) Optimal seismic design of 3D steel frames. In: Kaveh A, Ilchi Ghazaan M (eds) Meta-heuristic algorithms for optimal design of real-size structures. Springer International Publishing AG, Cham, Switzerland, pp 139–155
Ericson PGP et al (2006) Diversification of Neoaves: integration of molecular sequence data and fossils. Bio Lett 2(4):543–547
Hackett SJ et al. (2008) A Phylogenomic study of birds reveals their evolutionary history. Sci 320(5884):1763–1768
Jarvis ED et al. (2014) Whole-genome analyses resolve early branches in the tree of life of modern birds. Sci 346(6215):1320–1331
Payne RB, Sorenson MD (2005) The cuckoos. Oxford University Press, Oxford, UK
Rajabioun R (2011) Cuckoo optimization algorithm. Appl. Soft Comput 11(8):5508–5518
Zhou Y, Ouyang X, Xie J (2014) A discrete cuckoo search algorithm for travelling salesman problem. Int. J. Collab Intell 1(1):68–84
The Life of Birds, Parenthood. http://www.pbs.org/lifeofbirds/home/index.html. (retrieved 05.10.2019)
Ellis C, Kepler C, Kepler A, Teebaki K (1990) Occurrence of the longtailed cuckoo; Eudynamis Taitensis on Caroline Atoll. Kiribati Short Commun EMU 90:202
Hockey P (2000) Patterns and correlates of bird migrations in Sub-Saharan Africa EMU100 (5):401–417
Yang XS (2011) Optimization algorithms. computational optimization, methods and algorithms. In: Koziel S, Yang XS (eds) Computational optimization, methods and algorithms. Springer, Berlin, Heidelberg, pp 13–31
Mantegna RN (1994) Fast, accurate algorithm for numerical simulation of levy stable stochastic processes, Physic Review E, 49(5):4677–4683
Saka MP, Aydogdu I, Akin A (2012) Discrete design optimization of space steel frames using the adaptive firefly algorithm. In: Topping BHV (ed) proceedings of the eleventh international conference on computational structures technology, Civil-Comp Press, Stirlingshire
Aydogdu I, Akin A, Saka MP (2012) Optimum design of steel space frames by artificial bee colony algorithm. In: Proceedings of the 10th international congress on advances in civil engineering, Middles East Technical University, Ankara, Turkey
Carbas S (2017) Optimum structural design of spatial steel frames via biogeography based optimization. Neural Comput Applic 28:1525–1539
Aydogdu I, Carbas S, Akin A (2017) Effect of Levy Flight on the discrete optimum design of steel skeletal structures using metaheuristics. Steel Comp Struct 24(1):93–112
ASCE 7-05 (2005) Minimum design loads for building and other structures. American Society of Civil Engineers, Virginia, USA
Aydogdu I (2010) Optimum design of 3-d irregular steel frames using ant colony optimization method. PhD thesis, Middles East Technical University, Ankara, Turkey
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Carbas, S., Aydogdu, I. (2021). Cuckoo Search for Optimum Design of Real-Sized High-Level Steel Frames. In: Dey, N. (eds) Applications of Cuckoo Search Algorithm and its Variants. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-15-5163-5_6
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DOI: https://doi.org/10.1007/978-981-15-5163-5_6
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