SIGNAL (programming language)

Algorithm

Signal integrity

Process (computing)

Operating system

Telecommunications

Set (abstract data type)

Parallel computing

Computer science

Diagram

Speedup

Database

Genetic algorithm

Interconnection

Artificial intelligence

Programming language

Channel (broadcasting)

Artificial neural network

Machine learning

IEEE Transactions on Electromagnetic Compatibility

A deep genetic algorithm (GA) is proposed to optimize the high-speed channel for signal integrity. In the traditional genetic algorithm-based high-speed channel optimization method, the eye height and eye width of the eye diagram are obtained by eye diagram simulation based on the full-wave algorithm, which is computationally expensive. In this letter, a deep neural network (DNN) is trained to predict the eye diagram information corresponding to a set of given design parameters of the high-speed channel. This DNN is embedded into the genetic algorithm to carry out the evaluation operation, which can greatly accelerate the evaluation process. A high-speed channel model is constructed to demonstrate the optimization capability and the benefit of the proposed method.

Optimization of High-Speed Channel for Signal Integrity With Deep Genetic Algorithm