Tuning soft mutations of the evolution algorithm for optimizing the linear solver parameters
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Publication:6140414
DOI10.1134/s1995080223080450OpenAlexW4389103047MaRDI QIDQ6140414
A. A. Petrushov, Boris I. Krasnopolsky
Publication date: 22 January 2024
Published in: Lobachevskii Journal of Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1134/s1995080223080450
Computational methods for sparse matrices (65F50) Learning and adaptive systems in artificial intelligence (68T05)
Cites Work
- Evolution strategies. A comprehensive introduction
- Algorithmic analysis of a basic evolutionary algorithm for continuous optimization
- Performance-Based Numerical Solver Selection in the Lighthouse Framework
- The university of Florida sparse matrix collection
- Introduction to Genetic Algorithms
- Automated tuning for the parameters of linear solvers
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