Operational Constraint

Operational constraints represent limitations or restrictions within a system, impacting its optimal performance. Current research focuses on integrating constraint satisfaction directly into optimization algorithms, such as using Monte Carlo Tree Search or graph reinforcement learning, rather than treating them as separate post-processing steps. This is being applied across diverse fields, from autonomous vehicle dispatch and robotic manipulation to wireless communication and urban air mobility planning, improving efficiency and robustness in complex systems. The resulting advancements enhance the practicality and performance of these systems by enabling more realistic and effective solutions.