parametercontrol
Parametercontrol is the set of methods for adjusting the values of parameters that govern a process, algorithm, or system while it is operating. The aim is to improve performance, robustness, or efficiency in the face of changing conditions, unknowns, or varying problem instances. This concept is applied across fields such as optimization, machine learning, and control engineering, and it contrasts with static parameter settings chosen before execution.
In optimization and evolutionary computation, parametercontrol encompasses three broad approaches. Deterministic parameter control uses fixed rules
In control theory and engineering, parametercontrol often takes the form of adaptive or gain-scheduling strategies that
Benefits of parametercontrol include reduced need for extensive offline tuning, potential for faster convergence, and improved
See also adaptive control, optimization, evolutionary algorithms, learning rate schedules.