The Arithmetic Optimization Algorithm
The Arithmetic Optimization Algorithm
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DOI：
10.1016/j.cma.2020.113609
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发表时间：
2021-01-11
影响因子：
7.2
通讯作者：
Gandomi, Amir H.
中科院分区：
文献类型：
--
作者：
Abualigah, Laith;Diabat, Ali;Gandomi, Amir H.
本文提出了一种新的元启发式算法，称为算术优化算法（AOA），它利用了数学中主要算术运算符的分布行为，包括乘法(M)、除法(D)、减法(S)和加法(a)。AOA在数学上建模并实现，以便在广泛的搜索空间中执行优化过程。通过29个基准函数和几个实际工程设计问题对AOA的性能进行了检验，以证明其适用性。在不同的场景下，对所提出的AOA的性能、收敛行为和计算复杂度进行了分析。实验结果表明，与其他11种已知的优化算法相比，AOA在解决具有挑战性的优化问题方面具有很好的效果。AOA的源代码可在http://www.mathworks.com/matlabcentral/fileexchange/8474和https://seyedalimirjalili.com/projects上公开获取。(C) 2020作者。Elsevier B.V.出版
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 http://www.mathworks.com/matlabcentral/fileexchange/8474 and https://seyedalimirjalili.com/projects. (C) 2020 The Author(s). Published by Elsevier B.V.