Matrix-based optimizers have attracted growing interest for improving LLM training efficiency, with significant progress centered on orthogonalization/whitening based methods. While yielding ...
Abstract: This article proposes an efficient surrogate-based electromagnetic (EM)-centric multiphysics optimization methodology that incorporates feature information assistance for the design of ...
Abstract: This paper addresses the development of a covariance matrix self-adaptation evolution strategy (CMSA-ES) for solving optimization problems with linear constraints. The proposed algorithm is ...
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