Tree-seed algorithm in solving real-life optimization problems

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dc.contributor.authorSahman M.A.
dc.contributor.authorCinar A.C.
dc.contributor.authorSaritas I.
dc.contributor.authorYasar A.
dc.date.accessioned2020-03-26T20:20:03Z
dc.date.available2020-03-26T20:20:03Z
dc.date.issued2019
dc.departmentSelçuk Üniversitesien_US
dc.descriptionInternational Scientific and Practical Conference Engineering Systems 2019, ISPCES 2019 -- 4 April 2019 through 5 April 2019 -- 155575en_US
dc.description.abstractTree-seed algorithm (TSA) is a nature-inspired and population-based algorithm for solving continuous optimization problems. The tree-seed relationship is the main motivation of this algorithm. TSA has only two peculiar parameters which are the total number of trees in the stand (pop) and the controller of the seed production (search tendency). Although many problems have been solved in the literature by TSA which is the successful optimizer for low dimensional unconstrained continuous problems, real-life problems have not been addressed yet. In this study, six continuous unconstrained real-life optimization problems (gas transmission compressor design, optimal capacity of gas production facility, gear train design, frequency modulation sounds parameter identification, the spread spectrum radar polyphase code design with 10 decision variables, the spread spectrum radar polyphase code design with 20 decision variables) have been solved. It is seen that choosing the number of the population as 50 and the value of search tendency as 0.1 is appropriate according to experimental results for these problems. © Published under licence by IOP Publishing Ltd.en_US
dc.identifier.doi10.1088/1757-899X/675/1/012030en_US
dc.identifier.issn1757-8981en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://dx.doi.org/10.1088/1757-899X/675/1/012030
dc.identifier.urihttps://hdl.handle.net/20.500.12395/38490
dc.identifier.volume675en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Physics Publishingen_US
dc.relation.ispartofIOP Conference Series: Materials Science and Engineeringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectOptimizationen_US
dc.subjectReal-Life Problemsen_US
dc.subjectTree-Seed Algorithmen_US
dc.subjectUnconstrained Continuous Problemsen_US
dc.titleTree-seed algorithm in solving real-life optimization problemsen_US
dc.typeConference Objecten_US

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