A Hybrid Tabu/Scatter Search Algorithm for Simulation-Based Optimization of Multi-Objective Runway Operations Scheduling. - Bulent Soykan (2016)

A simulation-based optimization approach for multi-objective runway operations scheduling. - Bulent Soykan; Ghaith Rabadi (Simul., 2022)

Adaptive Scheduling In Dynamic Environments: A Data-Driven Approach With Digital Twins And Deep Reinforcement Learning. - Bulent Soykan; Ahmad A. Bany Abdelnabi; Ghaith Rabadi (DTPI, 2023)

Optimizing Multi Commodity Flow Problem Under Uncertainty: A Deep Reinforcement Learning Approach. - Bulent Soykan; Ghaith Rabadi (ICMLA, 2023)

Optimizing Humanitarian Logistics with Deep Reinforcement Learning and Digital Twins. - Bulent Soykan; Ghaith Rabadi (ANNSIM, 2024)

Optimizing Job Shop Scheduling Problem Through Deep Reinforcement Learning and Discrete Event Simulation. - Bulent Soykan; Ghaith Rabadi (WSC, 2024)

Real-Time Data Assimilation in Digital Twins via Particle Filters for Discrete Event Simulation. - Bulent Soykan; Ghaith Rabadi; Sean C. Mondesire (DTPI, 2025)

A Proof-of-Concept Digital Twin for Real-Time Simulation: Leveraging a Model-Based Systems Engineering Approach. - Bulent Soykan; Grégoire Blanc; Ghaith Rabadi (IEEE Access, 2025)

A Hybrid Tabu Scatter Search Algorithm for Simulation-Based Optimization of Multi-Objective Runway Operations Scheduling. - Bulent Soykan (CoRR, 2025)

Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions. - Gulsah Hancerliogullari Koksalmis; Bulent Soykan; Laura J. Brattain; Hsin-Hsiung Huang (CoRR, 2025)