Integrating machine learning and mathematical optimization for job shop scheduling
Job-shop scheduling is an important but difficult combinatorial optimization problem for low-
volume and high-variety manufacturing, with solutions required to be obtained quickly at the …
volume and high-variety manufacturing, with solutions required to be obtained quickly at the …
A Review of Integrated Optimization Method of Batch Planning and Scheduling for Steelmaking-Continuous Casting-Hot Rolling Production Under Uncertain …
L Sun, X Hao, Y Li, J Xue… - Complex System …, 2024 - ieeexplore.ieee.org
The integrated process of steelmaking, continuous casting, and hot rolling (SM-CC-HR)
covers the entire process from refining liquid steel to manufacturing semi-finished steel …
covers the entire process from refining liquid steel to manufacturing semi-finished steel …
A novel optimization approach for sub-hourly unit commitment with large numbers of units and virtual transactions
Unit Commitment (UC) is an important problem in power system operations. It is traditionally
planned for 24 hours with one-hour time intervals. To accommodate the increasing net-load …
planned for 24 hours with one-hour time intervals. To accommodate the increasing net-load …
Apply ordinal optimization to optimize the job-shop scheduling under uncertain processing times
SC Horng, SS Lin - Arabian Journal for Science and Engineering, 2022 - Springer
The job shop scheduling problem is generally divided into two types according to production
environments, the job shop scheduling problem with deterministic processing times and the …
environments, the job shop scheduling problem with deterministic processing times and the …
[HTML][HTML] Hierarchical distributed optimization of constraint-coupled convex and mixed-integer programs using approximations of the dual function
In this paper, two new algorithms for dual decomposition-based distributed optimization are
presented. Both algorithms rely on the quadratic approximation of the dual function of the …
presented. Both algorithms rely on the quadratic approximation of the dual function of the …
Incorporate seagull optimization into ordinal optimization for solving the constrained binary simulation optimization problems
SC Horng, SS Lin - The Journal of Supercomputing, 2023 - Springer
Constrained binary simulation optimization problems (CBSOP) are optimization problems
with binary variables and stochastic objective function subject to given constraints. Solving …
with binary variables and stochastic objective function subject to given constraints. Solving …
A novel solar radio spectrogram encryption algorithm based on parameter variable chaotic systems and DNA dynamic encoding
Y Shen, T Zou, L Zhang, Z Wu, Y Su, F Yan - Physica Scripta, 2022 - iopscience.iop.org
Considering that chaotic systems are highly sensitive to parameters, we design two new
parameter variable chaotic systems by constructing parameter perturbation items. These …
parameter variable chaotic systems by constructing parameter perturbation items. These …
A robust optimization approach for steeling-continuous casting charge batch planning with uncertain slab weight
C Li, L Sun - Journal of Process Control, 2024 - Elsevier
The volatility of slab weight in steelmaking-continuous casting (SCC) production, attributed
to factors such as flexible order demand, is addressed in this paper. A robust optimization …
to factors such as flexible order demand, is addressed in this paper. A robust optimization …
Simultaneous optimization of task allocation and path planning using mixed-integer programming for time and capacity constrained multi-agent pickup and delivery
T Okubo, M Takahashi - 2022 22nd International Conference …, 2022 - ieeexplore.ieee.org
Lately, there has been a need to improve the efficiency of material movements within
factories and multi-agents are required to perform these tasks. In this study, graphical …
factories and multi-agents are required to perform these tasks. In this study, graphical …
Multi-Agent Action Graph Based Task Allocation and Path Planning Considering Changes in Environment
T Okubo, M Takahashi - IEEE Access, 2023 - ieeexplore.ieee.org
Task allocation and path planning considering changes in the mobility of robots in the
environment allows the robots to efficiently execute tasks with smaller travel times. A lunar …
environment allows the robots to efficiently execute tasks with smaller travel times. A lunar …