Application of the 2-archive multi-objective cuckoo search algorithm for structure optimization

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dc.authoridSharma, Dr. Sunil/0000-0002-1732-2677
dc.authoridPatel, Pinank/0000-0002-4799-6525
dc.authoridTejani, Ghanshyam/0000-0001-9106-0313
dc.authoridMashru, Nikunj/0000-0003-2103-0594;
dc.contributor.authorTejani, Ghanshyam G.
dc.contributor.authorMashru, Nikunj
dc.contributor.authorPatel, Pinank
dc.contributor.authorSharma, Sunil Kumar
dc.contributor.authorCelik, Emre
dc.date.accessioned2025-10-11T20:48:25Z
dc.date.available2025-10-11T20:48:25Z
dc.date.issued2024
dc.departmentDüzce Üniversitesien_US
dc.description.abstractThe study suggests a better multi-objective optimization method called 2-Archive Multi-Objective Cuckoo Search (MOCS2arc). It is then used to improve eight classical truss structures and six ZDT test functions. The optimization aims to minimize both mass and compliance simultaneously. MOCS2arc is an advanced version of the traditional Multi-Objective Cuckoo Search (MOCS) algorithm, enhanced through a dual archive strategy that significantly improves solution diversity and optimization performance. To evaluate the effectiveness of MOCS2arc, we conducted extensive comparisons with several established multi-objective optimization algorithms: MOSCA, MODA, MOWHO, MOMFO, MOMPA, NSGA-II, DEMO, and MOCS. Such a comparison has been made with various performance metrics to compare and benchmark the efficacy of the proposed algorithm. These metrics comprehensively assess the algorithms' abilities to generate diverse and optimal solutions. The statistical results demonstrate the superior performance of MOCS2arc, evidenced by enhanced diversity and optimal solutions. Additionally, Friedman's test & Wilcoxon's test corroborate the finding that MOCS2arc consistently delivers superior optimization results compared to others. The results show that MOCS2arc is a highly effective improved algorithm for multi-objective truss structure optimization, offering significant and promising improvements over existing methods.en_US
dc.description.sponsorshipMajmah university [ER-2024-1449]en_US
dc.description.sponsorshipDeanship of Postgraduate Studies and Scientific Research at Majmaah Universityen_US
dc.description.sponsorshipThe author extends the appreciation to the Deanship of Postgraduate Studies and Scientific Research at Majmaah University for funding this research work through the project number (ER-2024-1449).en_US
dc.identifier.doi10.1038/s41598-024-82918-2
dc.identifier.issn2045-2322
dc.identifier.issue1en_US
dc.identifier.pmid39738304en_US
dc.identifier.scopus2-s2.0-85213709886en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1038/s41598-024-82918-2
dc.identifier.urihttps://hdl.handle.net/20.500.12684/21911
dc.identifier.volume14en_US
dc.identifier.wosWOS:001386372800012en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherNature Portfolioen_US
dc.relation.ispartofScientific Reportsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_WOS_20250911
dc.subjectArchiveen_US
dc.subjectTrussen_US
dc.subjectStructure designen_US
dc.subjectPareto dominanceen_US
dc.subjectDiversityen_US
dc.subjectConvergenceen_US
dc.titleApplication of the 2-archive multi-objective cuckoo search algorithm for structure optimizationen_US
dc.typeArticleen_US

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