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  • Grasshopper Optimisation Algorithm: Theory and application

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    SaremiPUB3432.pdf (2.247Mb)
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    Accepted Manuscript (AM)
    Author(s)
    Saremi, Shahrzad
    Mirjalili, Seyedali
    Lewis, Andrew
    Griffith University Author(s)
    Lewis, Andrew J.
    Mirjalili, Seyedali
    Year published
    2017
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    Abstract
    This paper proposes an optimisation algorithm called Grasshopper Optimisation Algorithm (GOA) and applies it to challenging problems in structural optimisation. The proposed algorithm mathematically models and mimics the behaviour of grasshopper swarms in nature for solving optimisation problems. The GOA algorithm is first benchmarked on a set of test problems including CEC2005 to test and verify its performance qualitatively and quantitatively. It is then employed to find the optimal shape for a 52-bar truss, 3-bar truss, and cantilever beam to demonstrate its applicability. The results show that the proposed algorithm is ...
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    This paper proposes an optimisation algorithm called Grasshopper Optimisation Algorithm (GOA) and applies it to challenging problems in structural optimisation. The proposed algorithm mathematically models and mimics the behaviour of grasshopper swarms in nature for solving optimisation problems. The GOA algorithm is first benchmarked on a set of test problems including CEC2005 to test and verify its performance qualitatively and quantitatively. It is then employed to find the optimal shape for a 52-bar truss, 3-bar truss, and cantilever beam to demonstrate its applicability. The results show that the proposed algorithm is able to provide superior results compared to well-known and recent algorithms in the literature. The results of the real applications also prove the merits of GOA in solving real problems with unknown search spaces.
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    Journal Title
    Advances in Engineering Software
    Volume
    105
    DOI
    https://doi.org/10.1016/j.advengsoft.2017.01.004
    Copyright Statement
    © 2017 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
    Subject
    Engineering
    Publication URI
    http://hdl.handle.net/10072/341140
    Collection
    • Journal articles

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