Biao Han – Optimization Online

Data-Driven Multistage Scheduling Optimization for Refinery Production under Uncertainty: Systematic Framework, Modeling Approach, and Application Analysis

Published: 2025/05/29

Control Applications, Scheduling, Stochastic Programming control and scheduling, data-driven, julia, mutistage, refinery scheduling, reinforcement learning, stochastic programming, uncertainty

The widespread existence of various uncertainties makes the inherently complex refinery production scheduling problem even more challenging. To address this issue, this paper proposes a viable systematic data-driven multistage scheduling optimization framework and develops a corresponding structured modeling methodology. Under this paradigm, unit-level advanced control and plant-level intelligent scheduling are coordinated to jointly deal with … Read more

Multiple Kernel Learning-Aided Column-and-Constraint Generation Method

Published: 2024/12/26, Updated: 2024/12/28

Biao Han

Applications - OR and Management Sciences, Optimization in Data Science, Robust Optimization column-and-constraint generation, julia, machine learning, multiple kernel learning, two-stage robust optimization

Two-stage robust optimization (two-stage RO), due to its ability to balance robustness and flexibility, has been widely used in various fields for decision-making under uncertainty. This paper proposes a multiple kernel learning (MKL)-aided column-and-constraint generation (CCG) method to address this issue in the context of data-driven decision optimization, and releases a corresponding registered Julia package, … Read more