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Integer programming formulations and benders decomposition for the maximum induced matching problem
Ahat, Betül; Ekim, Tınaz; Taşkın, Z. Caner - In: INFORMS journal on computing : JOC 30 (2018) 1, pp. 43-56
Persistent link: https://www.econbiz.de/10011848123
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The determination of optimal treatment plans for Volumetric Modulated Arc Therapy (VMAT)
Dursun, Pınar; Taşkın, Z. Caner; Altınel, İ. Kuban - In: European journal of operational research : EJOR 272 (2019) 1, pp. 372-388
Persistent link: https://www.econbiz.de/10011942074
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A decomposition algorithm for single and multiobjective integrated market selection and production planning
Heuvel, Wilco van den; Ağralı, Semra; Taşkın, Z. Caner - In: INFORMS journal on computing : JOC ; charting new … 35 (2023) 6, pp. 1439-1453
Persistent link: https://www.econbiz.de/10014471528
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Combining simulated annealing with Lagrangian relaxation and weighted Dantzig-Wolfe decomposition for integrated design decisions in wireless sensor networks
Keskin, M. Emre; Altınel, İ. Kuban; Aras, Necati - In: Computers & operations research : and their … 59 (2015), pp. 132-143
Persistent link: https://www.econbiz.de/10010515207
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Exact solution algorithms for the maximum flow problem with additional conflict constraints
Şuvak, Zeynep; Altınel, İ. Kuban; Aras, Necati - In: European journal of operational research : EJOR 287 (2020) 2, pp. 410-437
Persistent link: https://www.econbiz.de/10012293831
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Benders decomposition algorithms for minimizing the spread of harmful contagions in networks
Tanınmış, Kübra; Aras, Necati; Güney, Evren; … - In: Computers & operations research : an international journal 167 (2024), pp. 1-18
Persistent link: https://www.econbiz.de/10014566933