Optimal solution of engineering design problems through differential gradient evolution plus algorithm: a hybrid approach
dc.authorid | Akram, Sana/0000-0003-2038-9511 | |
dc.contributor.author | Tabassum, Muhammad Farhan | |
dc.contributor.author | Akgul, Ali | |
dc.contributor.author | Akram, Sana | |
dc.contributor.author | Hassan, Saadia | |
dc.contributor.author | Saman | |
dc.contributor.author | Qudus, Ayesha | |
dc.contributor.author | Karim, Rabia | |
dc.date.accessioned | 2024-12-24T19:28:28Z | |
dc.date.available | 2024-12-24T19:28:28Z | |
dc.date.issued | 2022 | |
dc.department | Siirt Üniversitesi | |
dc.description.abstract | It is very necessary and applicable to optimize all disciplines. In practical engineering problems the optimization has been a significant component. This article presents the hybrid approach named as differential gradient evolution plus (DGE+) algorithm which is the combination of differential evolution gorithm and gradient evolution (GE) algorithm. DE was used to diversify and GE was used for intensification with a perfect equilibrium between exploration and exploitation with an improvised distribution of dynamic probability and offers a new shake-off approach to prevent premature convergence to local optimum. To describe the success, the proposed algorithm is compared to modern meta-heuristics. To see the accuracy, robustness, and reliability of DGE+ it has been implemented on eight complex practical engineering problems named as: pressure vessel, belleville spring, tension/compression spring, three-bar truss, welded beam, speed reducer, gear train and rolling element bearing design problem, the results revealed that DGE+ algorithm can deliver highly efficient, competitive and promising results. | |
dc.identifier.doi | 10.1088/1402-4896/ac41ec | |
dc.identifier.issn | 0031-8949 | |
dc.identifier.issn | 1402-4896 | |
dc.identifier.issue | 1 | |
dc.identifier.scopus | 2-s2.0-85124001602 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.uri | https://doi.org/10.1088/1402-4896/ac41ec | |
dc.identifier.uri | https://hdl.handle.net/20.500.12604/7079 | |
dc.identifier.volume | 97 | |
dc.identifier.wos | WOS:000740837400001 | |
dc.identifier.wosquality | Q2 | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | Iop Publishing Ltd | |
dc.relation.ispartof | Physica Scripta | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.snmz | KA_20241222 | |
dc.subject | meta-heuristics | |
dc.subject | hybridization | |
dc.subject | differential evolution | |
dc.subject | gradient evolution | |
dc.subject | practical engineering designs | |
dc.title | Optimal solution of engineering design problems through differential gradient evolution plus algorithm: a hybrid approach | |
dc.type | Article |