Abstract
In this paper, a CMA-ES algorithm-based phase-sensing method is proposed and investigated. Thanks to the probability-based operational property of optimization conducted by the covariance matrix, the proposed method can yield excellent phase-sensing performances regardless of beam-combining parameters.
© 2023 The Author(s)
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