Doherty Amplifier Optimization Using Robust Genetic Algorithm and Unscented Transform
Résumé
A robust genetic circuit optimizer using Unscented Transform and Non-dominated Sorting Genetic Algorithm-II ispresented. The algorithm provides significant decrease in computational cost compared to Monte Carlo method. This transform permits the circuit performance uncertainties determination from components uncertainties, thus, a search through robustness can be done. Results shows reduced computational costs, the many possibilities provided to circuit designer by the multi-objective search and assumptions that can be done in a Doherty power amplifier study with the optimizer.
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