An Improved Archimedes Optimization Algorithm for Solving Optimization Problems
The Archimedes Optimization Algorithm (AOA) algorithm, a multi-agent-based metaheuristic, has garnered attention for its remarkable accuracy in real-world optimization. This research addresses solutions for the inherent limitation of original AOA, notably its susceptibility to uneven exploration and...
Uložené v:
| Vydané v: | 2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE) s. 1 - 5 |
|---|---|
| Hlavní autori: | , , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
| Vydavateľské údaje: |
IEEE
02.12.2023
|
| Predmet: | |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | The Archimedes Optimization Algorithm (AOA) algorithm, a multi-agent-based metaheuristic, has garnered attention for its remarkable accuracy in real-world optimization. This research addresses solutions for the inherent limitation of original AOA, notably its susceptibility to uneven exploration and exploitation phases and its propensity to become ensnared in local optima. To overcome these limitations, we employ two strategies: the modification of the density decreasing factor and the introduction of a safe updating mechanism inspired by game theory. These enhancements are subjected to rigorous evaluation using 23 benchmark functions, and their performance is compared against that of the original AOA and other prominent algorithms, including the Multiverse Optimization (MVO), Grasshopper Optimization Algorithm (GOA), Sine Cosine Algorithm (SCA), and Ant Lion Optimizer (ALO). The test results reveal significant improvements achieved by the newly proposed improved AOA (IAOA), surpassing the performance of the original AOA in 69% of the optimization cases among the 23 test functions. It is noteworthy that it also outperformed the other mentioned algorithms. The potential of the proposed algorithm as an effective tool for addressing real-world optimization challenges is underscored by these encouraging findings, adhering to research conventions. |
|---|---|
| AbstractList | The Archimedes Optimization Algorithm (AOA) algorithm, a multi-agent-based metaheuristic, has garnered attention for its remarkable accuracy in real-world optimization. This research addresses solutions for the inherent limitation of original AOA, notably its susceptibility to uneven exploration and exploitation phases and its propensity to become ensnared in local optima. To overcome these limitations, we employ two strategies: the modification of the density decreasing factor and the introduction of a safe updating mechanism inspired by game theory. These enhancements are subjected to rigorous evaluation using 23 benchmark functions, and their performance is compared against that of the original AOA and other prominent algorithms, including the Multiverse Optimization (MVO), Grasshopper Optimization Algorithm (GOA), Sine Cosine Algorithm (SCA), and Ant Lion Optimizer (ALO). The test results reveal significant improvements achieved by the newly proposed improved AOA (IAOA), surpassing the performance of the original AOA in 69% of the optimization cases among the 23 test functions. It is noteworthy that it also outperformed the other mentioned algorithms. The potential of the proposed algorithm as an effective tool for addressing real-world optimization challenges is underscored by these encouraging findings, adhering to research conventions. |
| Author | Islam, Muhammad Shafiqul Rashid, Muhammad Ikram Mohd Ahmad, Mohd Ashraf |
| Author_xml | – sequence: 1 givenname: Mohd Ashraf surname: Ahmad fullname: Ahmad, Mohd Ashraf email: mashraf@ump.edu.my organization: University Malaysia Pahang Al-Sultan Abdullah,Faculty of Electrical and Electronics Engineering,Pekan,Malaysia – sequence: 2 givenname: Muhammad Shafiqul surname: Islam fullname: Islam, Muhammad Shafiqul email: shafiqsmail1@gmail.com organization: University Malaysia Pahang Al-Sultan Abdullah,Faculty of Electrical and Electronics Engineering,Pekan,Malaysia – sequence: 3 givenname: Muhammad Ikram Mohd surname: Rashid fullname: Rashid, Muhammad Ikram Mohd email: mikram@ump.edu.my organization: University Malaysia Pahang Al-Sultan Abdullah,Faculty of Electrical and Electronics Engineering,Pekan,Malaysia |
| BookMark | eNpVj81KxDAURiPoQsd5AxfxAVpzk6ZJlqWMWhio-LMe0vZmJtA0Q1oG9OkVdBauPg4cDnw35HKKExJyDywHYOahqV-rZiNNIU3OGRc5sKLUBcAFWRtltJBMgJRQXpO2mmgTjimecKBV6g8-4IAzbY-LD_7LLj5OtBr3MfnlEKiLib7F8eSn_X_lJcVuxDDfkitnxxnXf7siH4-b9_o527ZPTV1tMw9glswJ4LZEzYXjJXLVdQokKqsUK5BpiX2vXKnFwHs3aOh-UDjLuZVaodRSrMjdb9cj4u6YfLDpc3f-Kb4BhDNO1w |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IL CBEJK RIE RIL |
| DOI | 10.1109/ICRAIE59459.2023.10468411 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Xplore POP ALL IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) IEEE Proceedings Order Plans (POP All) 1998-Present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Xplore url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| EISBN | 9798350315516 |
| EndPage | 5 |
| ExternalDocumentID | 10468411 |
| Genre | orig-research |
| GroupedDBID | 6IE 6IL CBEJK RIE RIL |
| ID | FETCH-LOGICAL-i119t-f312a6e823f26e27bb715e7a7704e085ecc7f683d2cfd81bcc73fa22a587e5853 |
| IEDL.DBID | RIE |
| IngestDate | Thu May 29 05:57:39 EDT 2025 |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i119t-f312a6e823f26e27bb715e7a7704e085ecc7f683d2cfd81bcc73fa22a587e5853 |
| PageCount | 5 |
| ParticipantIDs | ieee_primary_10468411 |
| PublicationCentury | 2000 |
| PublicationDate | 2023-Dec.-2 |
| PublicationDateYYYYMMDD | 2023-12-02 |
| PublicationDate_xml | – month: 12 year: 2023 text: 2023-Dec.-2 day: 02 |
| PublicationDecade | 2020 |
| PublicationTitle | 2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE) |
| PublicationTitleAbbrev | ICRAIE |
| PublicationYear | 2023 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| Score | 1.853254 |
| Snippet | The Archimedes Optimization Algorithm (AOA) algorithm, a multi-agent-based metaheuristic, has garnered attention for its remarkable accuracy in real-world... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 1 |
| SubjectTerms | Archimedes Optimization Algorithm (AOA) Benchmark testing Game theory Games Heuristic algorithms Improved Archimedes Optimization Algorithm (IAOA) Meta-heuristic Algorithm Metaheuristics Optimization Safe Experimentation Dynamics Algorithm (SED) Technological innovation |
| Title | An Improved Archimedes Optimization Algorithm for Solving Optimization Problems |
| URI | https://ieeexplore.ieee.org/document/10468411 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LSwMxEA5aRDypWPFNBK_bukl2kxxLabEgbfFFbyXZTLTQ7kq39febZLdKDx68JWEgMCHMfDPzzSB0Z4myVhkdAUs8QInTSJnMRMb5rlIlOpUhXfD2yIdDMZnIcU1WD1wYAAjFZ9Dyy5DLN0W29qGyts9HCuaZvLuc84qstY9u676Z7UH3qTPoJZIlnoFCaGsjvzU5JRiO_uE_rzxCzV8KHh7_GJdjtAP5CRp1clxFAcDg0DPW2TIo8cj9-0VNqMSd-XvhEP_HAjt_FD8Xcx8y2BYZV1NkyiZ67fdeug9RPREhmsWxXEWWxkSlIAi1JAXCteZxAlxxfs_AOU_uPbhNBTUks8Y5pG5LrSJEJYKDAwb0FDXyIoczhKXQikptGSjOdEoEcJ4oYNSagGvOUdNrY_pZNb2YbhRx8cf5JTrwOg-VHuQKNVbLNVyjvexrNSuXN-GpvgEz-pf1 |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LTwIxEG4MGvWkRoxva-J1ge1ju3skBAIRgSgabqS7nSoJ7BpY_P223UXDwYO3tmnTZCbNfDPTbwahB02k1lLFHjBuHRQ_8KRKlKcMdo0kj4PIpQve-mIwCCeTaFSS1R0XBgDc5zOo2aHL5assWdtQWd3mI0Nmmby7nDHiF3StfXRfVs6s91rPzV6bR4xbDgqhtc2Jrd4pznR0jv556TGq_pLw8OjHvJygHUhP0bCZ4iIOAAq7qrHGmsEKD83LX5SUStycv2fG5_9YYINI8Us2t0GD7S2joo_MqopeO-1xq-uVPRG8me9HuaepT2QAIaGaBEBEHAufg5BCNBgY-GQ0InQQUkUSrQwkNVOqJSGShwKMa0DPUCXNUjhHOApjSaNYM5CCxQEJQQgugVGtnGdzgapWGtPPouzFdCOIyz_W79BBd_zUn_Z7g8crdGjl7_59NK5RJV-u4QbtJV_5bLW8dWr7Bkqtmzo |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2023+IEEE+8th+International+Conference+on+Recent+Advances+and+Innovations+in+Engineering+%28ICRAIE%29&rft.atitle=An+Improved+Archimedes+Optimization+Algorithm+for+Solving+Optimization+Problems&rft.au=Ahmad%2C+Mohd+Ashraf&rft.au=Islam%2C+Muhammad+Shafiqul&rft.au=Rashid%2C+Muhammad+Ikram+Mohd&rft.date=2023-12-02&rft.pub=IEEE&rft.spage=1&rft.epage=5&rft_id=info:doi/10.1109%2FICRAIE59459.2023.10468411&rft.externalDocID=10468411 |