Mikhail A. Bragin

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 33

Top Topics

Relaxation Algorithm

Lagrangian Relaxation

Unit Commitment

Top Venues

IEEE Robotics Autom. Lett.

IEEE Trans Autom. Sci. Eng.

Publications

Mikhail A. Bragin
Survey on Lagrangian relaxation for MILP: importance, challenges, historical review, recent advancements, and opportunities. Ann. Oper. Res. 333 (1) (2024)
Anbang Liu, Peter B. Luh, Kailai Sun, Mikhail A. Bragin, Bing Yan
Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
Tsung-Han Tsai, Bing Yan, Peter B. Luh, Haw Ching Yang, Mikhail A. Bragin, Fan-Tien Cheng
Near-Optimal Scheduling for IC Packaging Operations Considering Processing-Time Variations and Factory Practices. IEEE Robotics Autom. Lett. 9 (4) (2024)
Chaofan Lin, Peng Zhang, Mikhail A. Bragin, Yacov A. Shamash
Reforming Quantum Microgrid Formation. CoRR (2024)
Jingtao Qin, Yuanqi Gao, Mikhail A. Bragin, Nanpeng Yu
An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems. IEEE Access 11 (2023)
Shanglin Zhou, Mikhail A. Bragin, Lynn Pepin, Deniz Gurevin, Fei Miao, Caiwen Ding
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning. CoRR (2023)
Osten Anderson, Nanpeng Yu, Mikhail A. Bragin
Optimize Deep Decarbonization Pathways in California with Power System Planning Using Surrogate Level-based Lagrangian Relaxation. CoRR (2023)
Bingbing Li, Zigeng Wang, Shaoyi Huang, Mikhail A. Bragin, Ji Li, Caiwen Ding
Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models. IJCAI (2023)
Mikhail A. Bragin
Lagrangian Relaxation for Mixed-Integer Linear Programming: Importance, Challenges, Recent Advancements, and Opportunities. CoRR (2023)
Mikhail A. Bragin, Farhan Hyder, Bing Yan, Peter B. Luh, Jinye Zhao, Feng Zhao, Dane A. Schiro, Tongxin Zheng
Novel Quality Measure and Efficient Resolution of Convex Hull Pricing for Unit Commitment. CoRR (2023)
Mikhail A. Bragin, Zuzhao Ye, Nanpeng Yu
Toward Efficient Transportation Electrification of Heavy-Duty Trucks: Joint Scheduling of Truck Routing and Charging. CoRR (2023)
Shanglin Zhou, Mikhail A. Bragin, Deniz Gurevin, Lynn Pepin, Fei Miao, Caiwen Ding
Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning. ACM Trans. Design Autom. Electr. Syst. 28 (6) (2023)
Zigeng Wang, Bingbing Li, Xia Xiao, Tianyun Zhang, Mikhail A. Bragin, Bing Yan, Caiwen Ding, Sanguthevar Rajasekaran
Automatic Subnetwork Search Through Dynamic Differentiable Neuron Pruning. ISQED (2023)
Dmitry Zhdanov, Sudip Bhattacharjee, Mikhail A. Bragin
Incorporating FAT and privacy aware AI modeling approaches into business decision making frameworks. Decis. Support Syst. 155 (2022)
Mikhail A. Bragin, Matthew E. Wilhelm, Matthew D. Stuber
Toward Agile and Robust Supply Chains: A Lesson from Stochastic Job-Shop Scheduling. CoRR (2022)
Bing Yan, Mikhail A. Bragin, Peter B. Luh
An Innovative Formulation Tightening Approach for Job-Shop Scheduling. IEEE Trans Autom. Sci. Eng. 19 (3) (2022)
Jingtao Qin, Yuanqi Gao, Mikhail A. Bragin, Nanpeng Yu
An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems. CoRR (2022)
Mikhail A. Bragin
Surrogate "Level-Based" Lagrangian Relaxation for Mixed-Integer Linear Programming. CoRR (2022)
Shanglin Zhou, Xiaowei Xu, Jun Bai, Mikhail A. Bragin
Combining multi-view ensemble and surrogate lagrangian relaxation for real-time 3D biomedical image segmentation on the edge. Neurocomputing 512 (2022)
Anbang Liu, Peter B. Luh, Bing Yan, Mikhail A. Bragin
A Novel Integer Linear Programming Formulation for Job-Shop Scheduling Problems. IEEE Robotics Autom. Lett. 6 (3) (2021)
Deniz Gurevin, Mikhail A. Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao
Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation. IJCAI (2021)
Nima Nikmehr, Mikhail A. Bragin, Peter B. Luh, Peng Zhang
Distributed and Asynchronous Operational Optimization of Networked Microgrids. CoRR (2021)
Mikhail A. Bragin, Yury Dvorkin
TSO-DSO Operational Planning Coordination through Surrogate Lagrangian Relaxation. CoRR (2021)
Mikhail A. Bragin, Bing Yan, Peter B. Luh
Distributed and Asynchronous Coordination of a Mixed-Integer Linear System via Surrogate Lagrangian Relaxation. IEEE Trans Autom. Sci. Eng. 18 (3) (2021)
Deniz Gurevin, Shanglin Zhou, Lynn Pepin, Bingbing Li, Mikhail A. Bragin, Caiwen Ding, Fei Miao
A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks. CoRR (2020)
Bing Yan, Mikhail A. Bragin, Peter B. Luh
Tightened Formulation and Resolution of Energy-Efficient Job-Shop Scheduling. CASE (2020)
An-Bang Liu, Peter B. Luh, Mikhail A. Bragin, Bing Yan
Ordinal-Optimization Concept Enabled Decomposition and Coordination of Mixed-Integer Linear Programming Problems. IEEE Robotics Autom. Lett. 5 (4) (2020)
Mikhail A. Bragin, Peter B. Luh, Bing Yan, Xiaorong Sun
A Scalable Solution Methodology for Mixed-Integer Linear Programming Problems Arising in Automation. IEEE Trans Autom. Sci. Eng. 16 (2) (2019)
Wenfeng Wan, Yan Li, Bing Yan, Mikhail A. Bragin, Jason Philhower, Peng Zhang, Peter B. Luh, Guy Warner
Active Fault Management for Microgrids. IECON (2018)
Bing Yan, Mikhail A. Bragin, Peter B. Luh
Novel Formulation and Resolution of Job-Shop Scheduling Problems. IEEE Robotics Autom. Lett. 3 (4) (2018)
Bing Yan, Haipei Fan, Peter B. Luh, Khosrow Moslehi, Xiaoming Feng, Chien Ning Yu, Mikhail A. Bragin, Yaowen Yu
Grid integration of wind generation considering remote wind farms: hybrid markovian and interval unit commitment. IEEE CAA J. Autom. Sinica 4 (2) (2017)
Mikhail A. Bragin, Peter B. Luh, Joseph H. Yan, Gary A. Stern
An efficient approach for solving mixed-integer programming problems under the monotonic condition. J. Control. Decis. 3 (1) (2016)
Mikhail A. Bragin, Peter B. Luh, Joseph H. Yan, Nanpeng Yu, Gary A. Stern
Convergence of the Surrogate Lagrangian Relaxation Method. J. Optim. Theory Appl. 164 (1) (2015)
Bing Yan, Peter B. Luh, Mikhail A. Bragin, Chen Song, Chenhui Dong, Zhongxue Gan
Energy-efficient building clusters. CASE (2014)