A dynamic model of controlling invasive species. - I. Esra Büyüktahtakin; Zhuo Feng; George Frisvold; Ferenc Szidarovszky; Aaryn Olsson (Comput. Math. Appl., 2011)

Manipulating the Steady State of Metabolic Pathways. - Bin Song 009; I. Esra Büyüktahtakin; Sanjay Ranka; Tamer Kahveci (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

A multi-objective optimization approach for invasive species control. - I. Esra Büyüktahtakin; Zhuo Feng; Ferenc Szidarovszky (J. Oper. Res. Soc., 2014)

A stochastic multi-criteria decision analysis for sustainable biomass crop selection. - Halil I. Cobuloglu; I. Esra Büyüktahtakin (Expert Syst. Appl., 2015)

Dynamic programming approximation algorithms for the capacitated lot-sizing problem. - I. Esra Büyüktahtakin; Ning Liu (J. Glob. Optim., 2016)

A two-stage stochastic mixed-integer programming approach to the competition of biofuel and food production. - Halil I. Cobuloglu; I. Esra Büyüktahtakin (Comput. Ind. Eng., 2017)

Optimizing invasive species management: A mixed-integer linear programming approach. - Eyyüb Y. Kibis; I. Esra Büyüktahtakin (Eur. J. Oper. Res., 2017)

A review of operations research models in invasive species management: state of the art, challenges, and future directions. - I. Esra Büyüktahtakin; Robert G. Haight (Ann. Oper. Res., 2018)

Stochastic dynamic resource allocation for HIV prevention and treatment: An approximate dynamic programming approach. - Özlem Cosgun; I. Esra Büyüktahtakin (Comput. Ind. Eng., 2018)

Partial objective inequalities for the multi-item capacitated lot-sizing problem. - I. Esra Büyüktahtakin; J. Cole Smith; Joseph C. Hartman (Comput. Oper. Res., 2018)

A new epidemics-logistics model: Insights into controlling the Ebola virus disease in West Africa. - I. Esra Büyüktahtakin; Emmanuel Desbordes; Eyyüb Y. Kibis (Eur. J. Oper. Res., 2018)

A Multi-Stage Stochastic Programming Approach to Epidemic Resource Allocation with Equity Considerations. - Xuecheng Yin; I. Esra Büyüktahtakin (CoRR, 2021)

COVID-19: Optimal Allocation of Ventilator Supply under Uncertainty and Risk. - Xuecheng Yin; I. Esra Büyüktahtakin; Bhumi P. Patel (CoRR, 2021)

A Multistage Stochastic Programming Approach to the Optimal Surveillance and Control of the Emerald Ash Borer in Cities. - Eyyüb Y. Kibis; I. Esra Büyüktahtakin; Robert G. Haight; Najmaddin Akhundov; Kathleen Knight; Charles E. Flower (INFORMS J. Comput., 2021)

Battery asset management with cycle life prognosis. - Xinyang Liu; Zhuoyuan Zheng; I. Esra Büyüktahtakin; Zhi Zhou 006; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2021)

Stage-t scenario dominance for risk-averse multi-stage stochastic mixed-integer programs. - I. Esra Büyüktahtakin (Ann. Oper. Res., 2022)

Risk-averse multi-stage stochastic optimization for surveillance and operations planning of a forest insect infestation. - Sabah Bushaj; I. Esra Büyüktahtakin; Robert G. Haight (Eur. J. Oper. Res., 2022)

COVID-19: Data-Driven optimal allocation of ventilator supply under uncertainty and risk. - Xuecheng Yin; I. Esra Büyüktahtakin; Bhumi P. Patel (Eur. J. Oper. Res., 2023)

Scenario-dominance to multi-stage stochastic lot-sizing and knapsack problems. - I. Esra Büyüktahtakin (Comput. Oper. Res., 2023)

Learning Optimal Solutions via an LSTM-Optimization Framework. - Dogacan Yilmaz; I. Esra Büyüktahtakin (Oper. Res. Forum, 2023)

A simulation-deep reinforcement learning (SiRL) approach for epidemic control optimization. - Sabah Bushaj; Xuecheng Yin; Arjeta Beqiri; Donald Andrews; I. Esra Büyüktahtakin (Ann. Oper. Res., 2023)

Toward TransfORmers: Revolutionizing the Solution of Mixed Integer Programs with Transformers. - Joshua F. Cooper; Seung Jin Choi; I. Esra Büyüktahtakin (CoRR, 2024)

Algorithms for Finding the Best Pure Nash Equilibrium in Edge-weighted Budgeted Maximum Coverage Games. - Hyunwoo Lee 005; Robert Hildebrand; Wenbo Cai; I. Esra Büyüktahtakin (CoRR, 2024)

Correction to: Stage-t scenario dominance for risk-averse multi-stage stochastic mixed-integer programs. - I. Esra Büyüktahtakin (Ann. Oper. Res., 2024)

An expandable machine learning-optimization framework to sequential decision-making. - Dogacan Yilmaz; I. Esra Büyüktahtakin (Eur. J. Oper. Res., 2024)

A K-means Supported Reinforcement Learning Framework to Multi-dimensional Knapsack. - Sabah Bushaj; I. Esra Büyüktahtakin (J. Glob. Optim., 2024)

A deep reinforcement learning framework for solving two-stage stochastic programs. - Dogacan Yilmaz; I. Esra Büyüktahtakin (Optim. Lett., 2024)