Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105273
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | - |
dc.creator | Brajević, I | - |
dc.creator | Stanimirović, PS | - |
dc.creator | Li, S | - |
dc.creator | Cao, X | - |
dc.creator | Khan, AT | - |
dc.creator | Kazakovtsev, LA | - |
dc.date.accessioned | 2024-04-12T06:51:11Z | - |
dc.date.available | 2024-04-12T06:51:11Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/105273 | - |
dc.language.iso | en | en_US |
dc.publisher | MDPI | en_US |
dc.rights | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | en_US |
dc.rights | The following publication Brajević I, Stanimirović PS, Li S, Cao X, Khan AT, Kazakovtsev LA. Hybrid Sine Cosine Algorithm for Solving Engineering Optimization Problems. Mathematics. 2022; 10(23):4555 is available at https://doi.org/10.3390/math10234555. | en_US |
dc.subject | Artificial bee colony | en_US |
dc.subject | Constrained design optimization | en_US |
dc.subject | Hybrid algorithm | en_US |
dc.subject | Sine cosine algorithm | en_US |
dc.title | Hybrid sine cosine algorithm for solving engineering optimization problems | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 10 | - |
dc.identifier.issue | 23 | - |
dc.identifier.doi | 10.3390/math10234555 | - |
dcterms.abstract | Engineering design optimization problems are difficult to solve because the objective function is often complex, with a mix of continuous and discrete design variables and various design constraints. Our research presents a novel hybrid algorithm that integrates the benefits of the sine cosine algorithm (SCA) and artificial bee colony (ABC) to address engineering design optimization problems. The SCA is a recently developed metaheuristic algorithm with many advantages, such as good search ability and reasonable execution time, but it may suffer from premature convergence. The enhanced SCA search equation is proposed to avoid this drawback and reach a preferable balance between exploitation and exploration abilities. In the proposed hybrid method, named HSCA, the SCA with improved search strategy and the ABC algorithm with two distinct search equations are run alternately during working on the same population. The ABC with multiple search equations can provide proper diversity in the population so that both algorithms complement each other to create beneficial cooperation from their merger. Certain feasibility rules are incorporated in the HSCA to steer the search towards feasible areas of the search space. The HSCA is applied to fifteen demanding engineering design problems to investigate its performance. The presented experimental results indicate that the developed method performs better than the basic SCA and ABC. The HSCA accomplishes pretty competitive results compared to other recent state-of-the-art methods. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Mathematics, Dec. 2022, v. 10, no. 23, 4555 | - |
dcterms.isPartOf | Mathematics | - |
dcterms.issued | 2022-12 | - |
dc.identifier.scopus | 2-s2.0-85143635395 | - |
dc.identifier.eissn | 2227-7390 | - |
dc.identifier.artn | 4555 | - |
dc.description.validate | 202403 bcvc | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Science Fund of the Republic of Serbia; Ministry of Science and Higher Education of the Russian Federation | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
mathematics-10-04555-v3.pdf | 572.35 kB | Adobe PDF | View/Open |
Page views
12
Citations as of Jul 7, 2024
Downloads
3
Citations as of Jul 7, 2024
SCOPUSTM
Citations
13
Citations as of Jul 4, 2024
WEB OF SCIENCETM
Citations
12
Citations as of Jul 4, 2024
![](/image/google_scholar.jpg)
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.