A novel chaotic Henry gas solubility optimization algorithm for solving real-world engineering problems
dc.contributor.author | Pholdee, Nantiwat | |
dc.contributor.author | Panagant, Natee | |
dc.contributor.author | Bureerat, Sujin | |
dc.contributor.author | Sait, Sadiq M. | |
dc.contributor.buuauthor | Yıldız, Betül Sultan | |
dc.contributor.buuauthor | Yıldız, Ali Rıza | |
dc.contributor.department | Uludağ Üniversitesi/Mühendislik Fakültesi/Makina Mühendisliği. | tr_TR |
dc.contributor.department | Uludağ Üniversitesi/Mühendislik Fakültesi/Makina Mühendisliği. | tr_TR |
dc.contributor.orcid | 0000-0002-7493-2068 | |
dc.contributor.orcid | 0000-0003-1790-6987 | |
dc.contributor.researcherid | AAL-9234-2020 | tr_TR |
dc.contributor.researcherid | F-7426-2011 | tr_TR |
dc.contributor.scopusid | 57094682600 | tr_TR |
dc.contributor.scopusid | 7102365439 | tr_TR |
dc.date.accessioned | 2024-01-24T06:46:13Z | |
dc.date.available | 2024-01-24T06:46:13Z | |
dc.date.issued | 2022-06 | |
dc.description.abstract | The paper proposes a novel metaheuristic based on integrating chaotic maps into a Henry gas solubility optimization algorithm (HGSO). The new algorithm is named chaotic Henry gas solubility optimization (CHGSO). The hybridization is aimed at enhancement of the convergence rate of the original Henry gas solubility optimizer for solving real-life engineering optimization problems. This hybridization provides a problem-independent optimization algorithm. The CHGSO performance is evaluated using various conventional constrained optimization problems, e.g., a welded beam problem and a cantilever beam problem. The performance of the CHGSO is investigated using both the manufacturing and diaphragm spring design problems taken from the automotive industry. The results obtained from using CHGSO for solving the various constrained test problems are compared with a number of established and newly invented metaheuristics, including an artificial bee colony algorithm, an ant colony algorithm, a cuckoo search algorithm, a salp swarm optimization algorithm, a grasshopper optimization algorithm, a mine blast algorithm, an ant lion optimizer, a gravitational search algorithm, a multi-verse optimizer, a Harris hawks optimization algorithm, and the original Henry gas solubility optimization algorithm. The results indicate that with selecting an appropriate chaotic map, the CHGSO is a robust optimization approach for obtaining the optimal variables in mechanical design and manufacturing optimization problems. | en_US |
dc.identifier.citation | Yıldız, B. S. vd. (2022). "A novel chaotic Henry gas solubility optimization algorithm for solving real-world engineering problems". Engineering with Computers, 38, 871-883. | en_US |
dc.identifier.doi | https://doi.org/10.1007/s00366-020-01268-5 | |
dc.identifier.endpage | 883 | tr_TR |
dc.identifier.issn | 0177-0667 | |
dc.identifier.issn | 1435-5663 | |
dc.identifier.scopus | 2-s2.0-85100727368 | tr_TR |
dc.identifier.startpage | 871 | tr_TR |
dc.identifier.uri | https://link.springer.com/article/10.1007/s00366-020-01268-5 | |
dc.identifier.uri | https://hdl.handle.net/11452/39287 | |
dc.identifier.volume | 38 | tr_TR |
dc.identifier.wos | 000616738900001 | |
dc.indexed.pubmed | ||
dc.indexed.scopus | Scopus | en_US |
dc.indexed.wos | SCIE | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.relation.collaboration | Yurt dışı | tr_TR |
dc.relation.journal | Engineering with Computers | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Hybrid metaheuristics | en_US |
dc.subject | Henry gas solubility optimization | en_US |
dc.subject | Chaotic maps | en_US |
dc.subject | Mechanical and manufacturing design | en_US |
dc.subject | Diaphragm spring | en_US |
dc.subject | Multiobjective optimization | en_US |
dc.subject | Machining conditions | en_US |
dc.subject | Parameter selection | en_US |
dc.subject | Genetic algorithm | en_US |
dc.subject | Design | en_US |
dc.subject | Operations | en_US |
dc.subject | Search | en_US |
dc.subject | Ant colony optimization | en_US |
dc.subject | Chaotic systems | en_US |
dc.subject | Gases | en_US |
dc.subject | Learning algorithms | en_US |
dc.subject | Manufacture | en_US |
dc.subject | Solubility | en_US |
dc.subject | Ant colony algorithms | en_US |
dc.subject | Artificial bee colony algorithms | en_US |
dc.subject | Cantilever beam problem | en_US |
dc.subject | Constrained optimi-zation problems | en_US |
dc.subject | Cuckoo search algorithms | en_US |
dc.subject | Engineering optimization problems | en_US |
dc.subject | Gravitational search algorithms | en_US |
dc.subject | Optimization algorithms | en_US |
dc.subject | Constrained optimization | en_US |
dc.subject.scopus | Cutting Process; Chatter; Turning | en_US |
dc.subject.wos | Categories Computer Science, Interdisciplinary Applications | en_US |
dc.subject.wos | Engineering, Mechanical | en_US |
dc.title | A novel chaotic Henry gas solubility optimization algorithm for solving real-world engineering problems | en_US |
dc.type | Article | en_US |
dc.wos.quartile | Q1 | en_US |
Files
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: