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Use of Swarm Intelligence in Structural Steel Design Optimization

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Metaheuristics and Optimization in Civil Engineering

Part of the book series: Modeling and Optimization in Science and Technologies ((MOST,volume 7))

Abstract

In this chapter, the optimum design problem of steel space frames is formulated according to the provisions of LRFD-AISC (Load and Resistance Factor Design-American Institute of Steel Corporation). The weight of the steel frame is taken as the objective function to be minimized. The design optimization problem necessitates selection of steel sections for the members of the steel frame from the available steel profiles lists. This turns the design optimization problem into discrete programming problem. Obtaining the optimum solution of such programming problems is cumbersome with mathematical programming techniques. On the other hand with the use of recently developed metaheuristic techniques that are based on swarm intelligence, the solution of the same problem becomes straightforward. Five different structural optimization algorithms are developed which are based on ant colony optimization, particle swarm optimizer, artificial bee colony algorithm, firefly algorithm, and cuckoo search algorithm, respectively. Two real size steel space frames; one rigidly connected and the other pin jointed are designed using each of these algorithms. The optimum designs obtained by these techniques are compared and performance of each version is evaluated. It is noticed that most of swarm intelligence-based algorithms are simple and robust techniques that determine the optimum solution of structural design optimization problems efficiently without requiring much of a mathematical struggle.

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Author information

Authors and Affiliations

  1. Department of Civil Engineering, University of Bahrain, Isa Town, Bahrain

    Mehmet Polat Saka

  2. Department of Civil Engineering, Karamanoglu Mehmetbey University, Karaman, Turkey

    Serdar Carbas

  3. Department of Civil Engineering, Akdeniz University, Antalya, Turkey

    Ibrahim Aydogdu

  4. Thomas & Betts Corporation, Meyer Steel Structures, Memphis, TN, 38125, USA

    Alper Akin

Authors
  1. Mehmet Polat Saka
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  2. Serdar Carbas
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  3. Ibrahim Aydogdu
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  4. Alper Akin
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Correspondence to Mehmet Polat Saka .

Editor information

Editors and Affiliations

  1. School of Science and Technology, Middlesex University, London, United Kingdom

    Xin-She Yang

  2. Faculty of Engineering, Istanbul University Faculty of Engineering, Istanbul, Turkey

    Gebrail Bekdaş

  3. Department of Civil Engineering, Istanbul University, Istanbul, Turkey

    Sinan Melih Nigdeli

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Saka, M.P., Carbas, S., Aydogdu, I., Akin, A. (2016). Use of Swarm Intelligence in Structural Steel Design Optimization. In: Yang, XS., Bekdaş, G., Nigdeli, S. (eds) Metaheuristics and Optimization in Civil Engineering. Modeling and Optimization in Science and Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-26245-1_3

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  • DOI: https://doi.org/10.1007/978-3-319-26245-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26243-7

  • Online ISBN: 978-3-319-26245-1

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