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Technical Report on BaumEvA Evolutionary Optimization Python-Library Testing
May 3, 2024, 4:58 a.m. | Vadim Tynchenko, Aleksei Kudryavtsev, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov
cs.CV updates on arXiv.org arxiv.org
Abstract: This report presents the test results Python library BaumEvA, which implements evolutionary algorithms for optimizing various types of problems, including computer vision tasks accompanied by the search for optimal model architectures. Testing was carried out to evaluate the effectiveness and reliability of the pro-posed methods, as well as to determine their applicability in various fields. Dur-ing testing, various test functions and parameters of evolutionary algorithms were used, which made it possible to evaluate their performance …
abstract algorithms architectures arxiv computer computer vision cs.ai cs.cv cs.ne evolutionary algorithms library optimization python reliability report results search tasks technical test testing type types vision
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