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For many linear and nonlinear systems that arise from the discretization of partial differential equations the construction of an efficient multigrid solver is a challenging task.
Genetic programming as a means for programming computers by natural selection
Koza, J. R · 1994
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Strongly typed genetic programming
Montana, D. J · 1995
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Handbook of evolutionary computation
Bäck, T., Fogel, D. B., and Michalewicz, Z · 1997
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A multigrid tutorial
Briggs, W. L., McCormick, S. F., et al · 2000
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A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: Nsga-ii
Deb, K., Agrawal, S., Pratap, A., and Meyarivan, T · 2000
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Multigrid
Trottenberg, U., Oosterlee, C. W., and Schuller, A · 2000
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Completely derandomized self-adaptation in evolution strategies
Hansen, N., and Ostermeier, A · 2001
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Evolution strategies - a comprehensive introduction
Beyer, H.-G., and Schwefel, H.-P · 2002
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Iterative methods for sparse linear systems
Saad, Y · 2003
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Practical Fourier analysis for multigrid methods
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Multi-grid methods and applications
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Lengauer, C., Apel, S., Bolten, M., Größlinger, A., Hannig, F., Köstler, H., Rüde, U., Teich, J., Grebhahn, A., Kronawitter, S., et al · 2014
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Exaslang: a domain-specific language for highly scalable multigrid solvers
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Exploring performance and power properties of modern multi-core chips via simple machine models
Hager, G., Treibig, J., Habich, J., and Wellein, G · 2016
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Genetic programming meets linear algebra: How genetic programming can be used to find improved iterative numerical methods
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Human-competitive results produced by genetic programming
Koza, J. R · 2010
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Optimizing the number of multigrid cycles in the full multigrid algorithm
Thekale, A., Gradl, T., Klamroth, K., and Rüde, U · 2010
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Mahmoodabadi, R. G., and Köstler, H · 2017
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Fourier analysis of periodic stencils in multigrid methods
Bolten, M., and Rittich, H · 2018
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Reinforcement learning: An introduction
Sutton, R. S., and Barto, A. G · 2018
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