Abstract
In this article we present a proof of concept of using an evolutionary strategy in Δ E − E identification procedure on simulated data. The algorithm combines a generative model of Δ E − E relation and a Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES). The CMA-ES is a stochastic and derivative-free method employed to search parameter space of the model by means of a fitness function. The article describes details of the method along with results of an application on simulated labeled data.
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