Doherty amplifier optimization using robust genetic algorithm and Unscented Transform
Marcos Lajovic Carneiro, Paulo H. P. de Carvalho, Nathalie Deltimple, Leonardo da Cunha Brito, L.R.A.X. de Menezes, Éric Kerhervé, Sérgio G. Araújo, Adson S. Rocira · 2011
A robust genetic circuit optimizer using Unscented Transform and Non-dominated Sorting Genetic Algorithm-II is presented. The algorithm provides significant computational cost reduction compared to Monte Carlo method. The Unscented Transform permits circuit performance uncertainties determination from components uncertainties, thus, a search through robustness can be approached. Besides reduced computational effort, a plethora of possibilities offered to circuit designer by the multi-objective search can be observed as result. Doherty power amplifier was used as case study.