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Cuckoo Search for Optimum Design of Real-Sized High-Level Steel Frames

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Applications of Cuckoo Search Algorithm and its Variants

Part of the book series: Springer Tracts in Nature-Inspired Computing ((STNIC))

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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Author information

Authors and Affiliations

  1. Faculty of Engineering, Department of Civil Engineering, Karamanoglu Mehmetbey University, Karaman, Turkey

    Serdar Carbas

  2. Faculty of Engineering, Department of Civil Engineering, Akdeniz University, Antalya, Turkey

    Ibrahim Aydogdu

Authors
  1. Serdar Carbas
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  2. Ibrahim Aydogdu
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Correspondence to Serdar Carbas .

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Editors and Affiliations

  1. Department of Information Technology, Techno International New Town, Kolkata, West Bengal, India

    Nilanjan Dey

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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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