A theoretical framework to analyze variability of parametric estimates obtained via Evolutionary Algorithms (EAs) is proposed. The nature of EAs, in fact, introduces a further source of variability, due to stochastic elements of the procedure. A simulation study employing Genetic Algorithms and Differential Evolution is also conducted in order to make comments on the effect of these stochastic elements on variability.
On Variability Analysis of Evolutionary Algorithm-Based Estimation / Rizzo, Manuel. - ELETTRONICO. - (2017). (Intervento presentato al convegno 11th Meeting of the Classification and Data Analysis Group, CLADAG 2017 tenutosi a Milan nel September 13th - September 15th).
On Variability Analysis of Evolutionary Algorithm-Based Estimation
RIZZO, MANUEL
2017
Abstract
A theoretical framework to analyze variability of parametric estimates obtained via Evolutionary Algorithms (EAs) is proposed. The nature of EAs, in fact, introduces a further source of variability, due to stochastic elements of the procedure. A simulation study employing Genetic Algorithms and Differential Evolution is also conducted in order to make comments on the effect of these stochastic elements on variability.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
