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  • The Arithmetic Optimization Algorithm

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    Mirjalili459440-Published.pdf (6.957Mb)
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    Author(s)
    Abualigah, Laith
    Diabat, Ali
    Mirjalili, Seyedali
    Elaziz, Mohamed Abd
    Gandomi, Amir H
    Griffith University Author(s)
    Mirjalili, Seyedali
    Year published
    2021
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    Abstract
    This work proposes a new meta-heuristic method called Arithmetic Optimization Algorithm (AOA) that utilizes the distribution behavior of the main arithmetic operators in mathematics including (Multiplication (M), Division (D), Subtraction (S), and Addition (A)). AOA is mathematically modeled and implemented to perform the optimization processes in a wide range of search spaces. The performance of AOA is checked on twenty-nine benchmark functions and several real-world engineering design problems to showcase its applicability. The analysis of performance, convergence behaviors, and the computational complexity of the proposed ...
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    This work proposes a new meta-heuristic method called Arithmetic Optimization Algorithm (AOA) that utilizes the distribution behavior of the main arithmetic operators in mathematics including (Multiplication (M), Division (D), Subtraction (S), and Addition (A)). AOA is mathematically modeled and implemented to perform the optimization processes in a wide range of search spaces. The performance of AOA is checked on twenty-nine benchmark functions and several real-world engineering design problems to showcase its applicability. The analysis of performance, convergence behaviors, and the computational complexity of the proposed AOA have been evaluated by different scenarios. Experimental results show that the AOA provides very promising results in solving challenging optimization problems compared with eleven other well-known optimization algorithms. Source codes of AOA are publicly available at and.
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    Journal Title
    Computer Methods in Applied Mechanics and Engineering
    Volume
    376
    DOI
    https://doi.org/10.1016/j.cma.2020.113609
    Copyright Statement
    © 2020 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Subject
    Mathematical Sciences
    Engineering
    Science & Technology
    Physical Sciences
    Engineering, Multidisciplinary
    Mathematics, Interdisciplinary Applications
    Publication URI
    http://hdl.handle.net/10072/403140
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    • Journal articles

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