A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference
Optimization is a method which is used in every field, such as engineering, space, finance, fashion market, mass communication, travelling, and also in our daily activities. In every field, everyone always wants to minimize or maximize something called the objective function. Traditional and modern...
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| Published in | Archives of computational methods in engineering Vol. 31; no. 3; pp. 1749 - 1822 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Dordrecht
Springer Netherlands
01.04.2024
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1134-3060 1886-1784 1886-1784 |
| DOI | 10.1007/s11831-023-10030-1 |
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| Abstract | Optimization is a method which is used in every field, such as engineering, space, finance, fashion market, mass communication, travelling, and also in our daily activities. In every field, everyone always wants to minimize or maximize something called the objective function. Traditional and modern optimization techniques or Meta-Heuristic (MH) optimization techniques are used to solve the objective functions. But the traditional optimization techniques fail to solve the complex and real-world optimization problem consisting of non-linear objective functions. So many modern optimization techniques have been proposed exponentially over the last few decades to overcome these challenges. This paper discusses a brief review of the different benchmark test functions (BTFs) related to existing MH optimization algorithms (OA). It discusses the classification of MH algorithms reported in the literature regarding swarm-based, human-based, physics-based, and evolutionary-based methods. Based on the last half-century literature, MH-OAs are tabulated in terms of the proposed year, author, and inspiration agent. Furthermore, this paper presents the MATLAB and python code web-link of MH-OA. After reading this review article, readers will be able to use MH-OA to solve challenges in their field. |
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| AbstractList | Optimization is a method which is used in every field, such as engineering, space, finance, fashion market, mass communication, travelling, and also in our daily activities. In every field, everyone always wants to minimize or maximize something called the objective function. Traditional and modern optimization techniques or Meta-Heuristic (MH) optimization techniques are used to solve the objective functions. But the traditional optimization techniques fail to solve the complex and real-world optimization problem consisting of non-linear objective functions. So many modern optimization techniques have been proposed exponentially over the last few decades to overcome these challenges. This paper discusses a brief review of the different benchmark test functions (BTFs) related to existing MH optimization algorithms (OA). It discusses the classification of MH algorithms reported in the literature regarding swarm-based, human-based, physics-based, and evolutionary-based methods. Based on the last half-century literature, MH-OAs are tabulated in terms of the proposed year, author, and inspiration agent. Furthermore, this paper presents the MATLAB and python code web-link of MH-OA. After reading this review article, readers will be able to use MH-OA to solve challenges in their field. |
| Author | Raju, Saravanakumar Sharma, Pankaj Salgotra, Rohit gandomi, Amir H. |
| Author_xml | – sequence: 1 givenname: Rohit orcidid: 0000-0002-3282-1810 surname: Salgotra fullname: Salgotra, Rohit email: rohits@agh.edu.pl, r.03dec@gmail.com organization: Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, MEU Research Unit, Middle East University – sequence: 2 givenname: Pankaj surname: Sharma fullname: Sharma, Pankaj organization: School of Electrical Engineering, Vellore Institute of Technology – sequence: 3 givenname: Saravanakumar surname: Raju fullname: Raju, Saravanakumar organization: School of Electrical Engineering, Vellore Institute of Technology – sequence: 4 givenname: Amir H. surname: gandomi fullname: gandomi, Amir H. organization: Faculty of Engineering and Information Technology, University of Technology Sydney, University Research and Innovation Center (EKIK), Óbuda University |
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| Snippet | Optimization is a method which is used in every field, such as engineering, space, finance, fashion market, mass communication, travelling, and also in our... |
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| SubjectTerms | Algorithms Engineering Heuristic Heuristic methods Integer programming Linear programming Mathematical and Computational Engineering Matlab Methods Optimization Optimization algorithms Optimization techniques Physics Python Review Article Systematic review |
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| Title | A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference |
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