Applying Genetic Algorithms To the Identical Parallel Machine Scheduling Problem
| dc.contributor.author | Oğuz, K. | |
| dc.contributor.author | Altuner, B. | |
| dc.contributor.author | Anar, C. | |
| dc.contributor.author | Reisoğlu, E. | |
| dc.contributor.author | Karaca, M.N. | |
| dc.contributor.author | Sevgen, Arya | |
| dc.date.accessioned | 2025-01-25T17:07:20Z | |
| dc.date.available | 2025-01-25T17:07:20Z | |
| dc.date.issued | 2024 | |
| dc.description | IEEE SMC; IEEE Turkiye Section | en_US |
| dc.description.abstract | We are proposing an evolutionary approach to the identical parallel machine scheduling problem using a novel representation for genetic algorithms. The genetic algorithm is compared to the mathematical model of the problem. Both of the approaches are implemented in Python using related libraries. The results show that, specially for the larger instances of the problem, the genetic algorithm performs better; it finds an appropriate solution with low tardiness values in minutes, rather than hours when the mathematical model is used. Our study shows that genetic algorithms a valid approach for finding solutions to the identical parallel machine scheduling problem. © 2024 IEEE. | en_US |
| dc.identifier.doi | 10.1109/ASYU62119.2024.10757011 | |
| dc.identifier.isbn | 979-835037943-3 | |
| dc.identifier.scopus | 2-s2.0-85213361904 | |
| dc.identifier.uri | https://doi.org/10.1109/ASYU62119.2024.10757011 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14365/5863 | |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024 -- 2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024 -- 16 October 2024 through 18 October 2024 -- Ankara -- 204562 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Genetic Algorithm | en_US |
| dc.subject | Identical Parallel Machine Scheduling Problem | en_US |
| dc.subject | Parallel Machine Scheduling | en_US |
| dc.title | Applying Genetic Algorithms To the Identical Parallel Machine Scheduling Problem | en_US |
| dc.type | Conference Object | en_US |
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| gdc.description.department | İzmir Ekonomi Üniversitesi | en_US |
| gdc.description.departmenttemp | Oğuz K., Department of Computer Engineering, Izmir University of Economics, Izmir, Turkey; Altuner B., Department of Computer Engineering, Izmir University of Economics, Izmir, Turkey; Anar C., Department of Industrial Engineering, Izmir University of Economics, Izmir, Turkey; Reisoğlu E., Department of Industrial Engineering, Izmir University of Economics, Izmir, Turkey; Karaca M.N., Department of Computer Engineering, Izmir University of Economics, Izmir, Turkey; Misiç A.S., Department of Industrial Engineering, Izmir University of Economics, Izmir, Turkey | en_US |
| gdc.description.endpage | 5 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
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| gdc.virtual.author | Misiç, Arya | |
| gdc.virtual.author | Oğuz, Kaya | |
| gdc.virtual.author | Altuner, Beyza | |
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