Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Gülesin Sena Daş"'
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031252518
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c507b11a848b8e7357b6abc9b0497726
https://doi.org/10.1007/978-3-031-25252-5_13
https://doi.org/10.1007/978-3-031-25252-5_13
Publikováno v:
International Transactions in Operational Research. 29:301-322
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce4a1ddaf2c5749d3eba703f3399eee0
https://doi.org/10.1111/itor.13022
https://doi.org/10.1111/itor.13022
Publikováno v:
2021 62nd International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7da57de512f42fb7087c5b1baefc2f31
https://doi.org/10.1109/itms52826.2021.9615312
https://doi.org/10.1109/itms52826.2021.9615312
Autor:
Türkay Dereli, Gülesin Sena Daş
Publikováno v:
Transport, Vol 25, Iss 2 (2010)
The globalization of supply chains and rising fuel costs are forcing container carriers both to minimize the number of trips and to maximize available container space. This makes container loading (CL) a critical process especially in real‐life app
Externí odkaz:
https://doaj.org/article/039d4f3e40c84f7a843a790b310d9e98
Autor:
Ali Firat Inal, Burak Birgören, Olcay Ozge Ersoz, Adnan Aktepe, Ahmet Kürşad Türker, Gülesin Sena Daş
Publikováno v:
Mathematics
Volume 7
Issue 3
Mathematics, Vol 7, Iss 3, p 278 (2019)
Volume 7
Issue 3
Mathematics, Vol 7, Iss 3, p 278 (2019)
The wide usage of information technologies in production has led to the Fourth Industrial Revolution, which has enabled real data collection from production tools that are capable of communicating with each other through the Internet of Things (IoT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4051b40d2849e0aac4578fd0cc0536f2
https://hdl.handle.net/20.500.12587/2654
https://hdl.handle.net/20.500.12587/2654
Autor:
Gülesin Sena Daş
Publikováno v:
Neural Computing and Applications. 28:539-549
WOS: 000417319700044 Forecasting the future energy demand accurately is a critical issue, especially for countries like Turkey where the energy dependency ratio is high. This paper presents a neural network based on the particle swarm optimization al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9007a74ca907e594e09c482720864622
https://doi.org/10.1007/s00521-016-2367-8
https://doi.org/10.1007/s00521-016-2367-8
Publikováno v:
Computers & Industrial Engineering. 150:106883
The efficient use of natural resources and energy become a critical issue due to the increasing population and environmental pollution worldwide. Recently, industrial symbiosis as a way of better utilization of natural resources has gained popularity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a5544fd864ad42aebcd183305612ecc
https://doi.org/10.1016/j.cie.2020.106883
https://doi.org/10.1016/j.cie.2020.106883
Publikováno v:
Omega
Assigning aircraft to gates is an important decision problem that airport professionals face every day. The solution of this problem has raised a significant research effort and many variants of this problem have been studied. In this paper, we revie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::beb64415b37f944ab0fe0485af98eb59
https://doi.org/10.1016/j.omega.2019.102146
https://doi.org/10.1016/j.omega.2019.102146
Publikováno v:
2017 International Conference on Computer Science and Engineering (UBMK).
2017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antalya, TURKEY WOS: 000426856900041 In this paper, we proposed a framework for detecting network's intrusions using Genetic Algorithm (GA) with multiple c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6a8226c5fcb516d6d77ee7cc184d336
https://doi.org/10.1109/ubmk.2017.8093378
https://doi.org/10.1109/ubmk.2017.8093378
Autor:
Gülesin Sena Daş, Türkay Dereli
Publikováno v:
Applied Artificial Intelligence. 24:463-486
In this article, we explored a new approach to solution of multi-objective container-loading problems mostly encountered in transportation and wholesaling industries. Our goal is to load the items (boxes) that would provide the highest total weight t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d15dc3399c7ff3537e1260110f70d689
https://doi.org/10.1080/08839514.2010.481488
https://doi.org/10.1080/08839514.2010.481488