The Arithmetic Optimization Algorithm

Abualigah, L; Diabat, A; Mirjalili, S; Elaziz, MA; Gandomi, AH

The Arithmetic Optimization Algorithm

Abualigah, L Diabat, A Mirjalili, S Elaziz, MA Gandomi, AH

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Computer Methods in Applied Mechanics and Engineering, 2021, 376, pp. 1-38
Issue Date:: 2021-04-01

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Field	Value	Language
dc.contributor.author	Abualigah, L
dc.contributor.author	Diabat, A
dc.contributor.author	Mirjalili, S
dc.contributor.author	Elaziz, MA
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2022-03-31T03:41:04Z
dc.date.available	2022-03-31T03:41:04Z
dc.date.issued	2021-04-01
dc.identifier.citation	Computer Methods in Applied Mechanics and Engineering, 2021, 376, pp. 1-38
dc.identifier.issn	0045-7825
dc.identifier.issn	0045-7825
dc.identifier.uri	http://hdl.handle.net/10453/155759
dc.description.abstract	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 ( ), Division (), Subtraction (), and Addition ()). 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 .
dc.language	English
dc.publisher	Elsevier
dc.relation.ispartof	Computer Methods in Applied Mechanics and Engineering
dc.relation.isbasedon	10.1016/j.cma.2020.113609
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	01 Mathematical Sciences, 09 Engineering
dc.subject.classification	Applied Mathematics
dc.title	The Arithmetic Optimization Algorithm
dc.type	Journal Article
utslib.citation.volume	376
utslib.for	01 Mathematical Sciences
utslib.for	09 Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2022-03-31T03:41:00Z
pubs.publication-status	Published
pubs.volume	376

Abstract:

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 ( ), Division (), Subtraction (), and Addition ()). 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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http://hdl.handle.net/10453/155759