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Grey Wolf Optimizer (GWO) Algorithm for Minimum Weight Planer Frame Design Subjected to AISC-LRFD

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Proceedings of International Conference on ICT for Sustainable Development

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 409))

Abstract

In this paper, an optimum planer frame design is achieved using the Grey Wolf Optimizer (GWO) algorithm. The GWO algorithm is a nature involved meta-heuristic which is correlated with grey wolves’ activities in social hierarchy. The objective of the GWO algorithm is to produce minimum weight planer frame considering the material strength requirements specified by American Institute for Steel Construction—Load and Resistance Factor Design (AISC-LRFD). The frame design is produced by choosing the W-shaped cross sections from AISC-LRFD steel sections for a beam and column members. A benchmark problem is investigated in the present work to monitor the success rate in a way of best solution and effectiveness of the GWO algorithm. The result of the GWO algorithm is compared with other meta-heuristics, namely GA, ACO, TLBO and EHS. The results show that the GWO algorithm gives better design solutions compared to other meta-heuristics.

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Authors and Affiliations

  1. School of Engineering, RK University, Rajkot, Gujarat, India

    Vishwesh Bhensdadia & Ghanshyam Tejani

Authors
  1. Vishwesh Bhensdadia
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  2. Ghanshyam Tejani
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Corresponding author

Correspondence to Ghanshyam Tejani .

Editor information

Editors and Affiliations

  1. Dept of Comp. Sci. & Engg, Anil Neerukonda Inst of Tech and Science, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Sabarkantha, Sabar Institute of Technology, Sabarkantha, Gujarat, India

    Amit Joshi

  3. Narsinhbhai Inst of Comp Studies & Mgmt, Gandhinagar, Gujarat, India

    Nilesh Modi

  4. Narsinhbhai Inst of Comp Studies & Mgmt, Gandhinagar, India

    Nisarg Pathak

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© 2016 Springer Science+Business Media Singapore

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Bhensdadia, V., Tejani, G. (2016). Grey Wolf Optimizer (GWO) Algorithm for Minimum Weight Planer Frame Design Subjected to AISC-LRFD. In: Satapathy, S., Joshi, A., Modi, N., Pathak, N. (eds) Proceedings of International Conference on ICT for Sustainable Development. Advances in Intelligent Systems and Computing, vol 409. Springer, Singapore. https://doi.org/10.1007/978-981-10-0135-2_13

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  • DOI: https://doi.org/10.1007/978-981-10-0135-2_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0133-8

  • Online ISBN: 978-981-10-0135-2

  • eBook Packages: EngineeringEngineering (R0)

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