The invention provides a
radio frequency device hyper-parameter automatic optimization
algorithm library. The
radio frequency device hyper-parameter automatic optimization
algorithm library comprises an interface module, a directional optimization
algorithm module and a multi-
modal optimization engine module, according to the optimization algorithm
library, the
automation level and the performance optimization efficiency of
radio frequency device design are remarkably improved by constructing
a domain knowledge graph covering six core devices including a radio frequency filter, a power
amplifier, a
numerical control attenuator and a low-
noise amplifier and combining a customized optimization algorithm and a cross-level cooperation strategy. On the
algorithm design level, aiming at the specific characteristics of the device, different
hybrid optimization strategies are adopted, the global search capability of a
genetic algorithm and a
particle swarm optimization algorithm and the local optimization
advantage of a
gradient descent method are combined, and dynamic
weight adjustment is matched, so that the targeted radio frequency device optimization
process design is realized. According to the optimization algorithm library, through an independent calling interface for packaging the automatic design algorithm, the use difficulty of the automatic design algorithm is simplified, and the optimization process is normalized.