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SAGA
(Surroage-Assisted Genetic Algorithm)
Overview
GeST has been extended with the functionalities of SAGA. SAGA is a Surrogate Assisted Genetic Algorithm for Fast CPU Power Virus Generation (presentation). The new version of the framework has been succesfully used to generate power-viruses for various CPUs in half the time.
The extension of the tool has been developed by Panteleimonas Chatzimiltis, Georgia Antoniou, Haris Volos and Yiannakis Sazeides.
The tool is published in ISPASS 2025 conference and you can find the framework release here (github-link).
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