Search Results - "Büyüktahtakın, İ Esra"

Stage-t scenario dominance for risk-averse multi-stage stochastic mixed-integer programs by Esra, Büyüktahtakın İ

“…This paper presents a new and general approach, named “Stage- t Scenario Dominance,” to solve the risk-averse multi-stage stochastic mixed-integer programs…”
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A review of operations research models in invasive species management: state of the art, challenges, and future directions by Büyüktahtakın, İ. Esra, Haight, Robert G.

“…Invasive species are a major threat to the economy, the environment, health, and thus human well-being. The international community, including the United…”
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Battery asset management with cycle life prognosis by Liu, Xinyang, Zheng, Zhuoyuan, Büyüktahtakın, İ. Esra, Zhou, Zhi, Wang, Pingfeng

“…•Integrate battery cycle life prognosis with parallel asset management.•Present a mathematical model for the battery asset replacement problem.•Reduce…”
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COVID-19: Agent-based simulation-optimization to vaccine center location vaccine allocation problem by Yin, Xuecheng, Bushaj, Sabah, Yuan, Yue, Büyüktahtakın, İ Esra

“…This article presents an agent-based simulation-optimization modeling and algorithmic framework to determine the optimal vaccine center location and vaccine…”
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A game-theoretic approach to incentivize landowners to mitigate an emerald ash borer outbreak by Chen, Chen, Cai, Wenbo, Büyüktahtakın, İ Esra, Haight, Robert G

“…This article addresses the challenge posed by the Emerald Ash Borer (EAB), a wood–boring insect that threatens to kill ash trees, one of the North America’s…”
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A two-stage stochastic mixed-integer programming approach to the competition of biofuel and food production by Cobuloglu, Halil I., Esra Büyüktahtakın, İ.

“…•First stochastic optimization model maximizing benefits of food and biofuel production.•The uncertain parameters of yield amount and price level are…”
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Stochastic dynamic resource allocation for HIV prevention and treatment: An approximate dynamic programming approach by Coşgun, Özlem, Esra Büyüktahtakın, İ.

“…•A stochastic approximate DP (ADP) approach to optimal resource allocation for intervening HIV.•Minimize the number of HIV-infected, people with AIDS, and…”
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Partial objective inequalities for the multi-item capacitated lot-sizing problem by Büyüktahtakın, İ. Esra, Smith, J. Cole, Hartman, Joseph C.

“…•We study the single-level multi-item capacitated lot-sizing problem (MCLSP).•We propose partial objective inequalities to strengthen the MCLSP MIP…”
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Dynamic programming approximation algorithms for the capacitated lot-sizing problem by Büyüktahtakın, İ. Esra, Liu, Ning

“…This paper provides a new idea for approximating the inventory cost function to be used in a truncated dynamic program for solving the capacitated lot-sizing…”
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Scenario-dominance to multi-stage stochastic lot-sizing and knapsack problems by Büyüktahtakın, İ. Esra

“…This paper presents strong scenario dominance cuts for effectively solving the multi-stage stochastic mixed-integer programs (M-SMIPs), specifically focusing…”
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A non-anticipative learning-optimization framework for solving multi-stage stochastic programs by Yilmaz, Dogacan, Büyüktahtakın, İ. Esra

“…Abstract We present a non-anticipative learning- and scenario-based prediction-optimization (ScenPredOpt) framework that combines deep learning, heuristics,…”
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A K-means Supported Reinforcement Learning Framework to Multi-dimensional Knapsack by Bushaj, Sabah, Büyüktahtakın, İ. Esra

“…In this paper, we address the difficulty of solving large-scale multi-dimensional knapsack instances (MKP), presenting a novel deep reinforcement learning…”
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An expandable machine learning-optimization framework to sequential decision-making by Yilmaz, Dogacan, Büyüktahtakın, İ. Esra

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A deep reinforcement learning framework for solving two-stage stochastic programs by Yilmaz, Dogacan, Büyüktahtakın, İ. Esra

“…In this study, we present a deep reinforcement learning framework for solving scenario-based two-stage stochastic programming problems. Stochastic programs…”
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A dynamic multi-stage design framework for staged deployment optimization of highly stochastic systems by Hamdan, Bayan, Liu, Zheng, Ho, Koki, Büyüktahtakın, İ. Esra, Wang, Pingfeng

“…The need for staged design optimization for multidisciplinary systems with strong, cross-system links and complex systems has been acknowledged in various…”
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A stochastic multi-criteria decision analysis for sustainable biomass crop selection by Cobuloglu, Halil I., Büyüktahtakın, İ. Esra

“…•We propose a stochastic analytical hierarchy process (SAHP) method.•Sustainable biomass crop selection has economic, environmental, and social…”
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Data-driven modeling for designing a sustainable and efficient vaccine supply chain: A COVID-19 case study by Kargar, Bahareh, MohajerAnsari, Pedram, Esra Büyüktahtakın, İ., Jahani, Hamed, Talluri, Sri

“…•Developing a novel agent-based simulation-optimization model for a vaccine supply chain (VSC).•Proposing an extented epidemiological simulation model of…”
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A simulation-deep reinforcement learning (SiRL) approach for epidemic control optimization by Bushaj, Sabah, Yin, Xuecheng, Beqiri, Arjeta, Andrews, Donald, Büyüktahtakın, İ. Esra

“…In this paper, we address the controversies of epidemic control planning by developing a novel Simulation-Deep Reinforcement Learning (SiRL) model. COVID-19…”
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A multi-criteria ranking algorithm (MCRA) for determining breast cancer therapy by Hasan, Mostafa, Büyüktahtakın, İ. Esra, Elamin, Elshami

“…•New multi-criteria ranking algorithm for planning patient-specific breast cancer therapy.•Algorithm integrates weights of criteria from AHP and feedback of…”
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Optimizing invasive species management: A mixed-integer linear programming approach by Kıbış, Eyyüb Y., Büyüktahtakın, İ. Esra

“…•We study a realistic linear integer model for controlling invasive species.•Linear model provides an exact optimal solution contrary to non-linear models.•The…”
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