Abstract
Contemporary software systems of computer-aided engineering do not contain efficient tools for optimization of designed models especially if such optimization requires finding out the global solution. For stating and solving problems of optimal choice arising in the course of model investigation they, as a rule, are combined with specialized software aimed inherently at corresponding classes of optimization statements. Among those the problems of global optimization are the most complicated ones and there exist few solvers for global optimization. In the paper the results of combining the engineering modeling system OpenFOAM and global optimization solver Globalizer as an integrated system of computations are described. This integrated system is oriented at multiprocessor architectures and implements parallel methods of global optimization. Solving applied optimization problems modeled by OpenFOAM and optimized by Globalizer confirms the perspective of the approach.
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Acknowledgements
This work was supported by the Ministry of Science and Higher Education of the Russian Federation, project no. 0729-2020-0055, and by the Research and Education Mathematical Center, project no. 075-02-2020-1483/1.
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Gergel, V., Grishagin, V., Liniov, A., Shumikhin, S. (2021). Parallel Computations in Integrated Environment of Engineering Modeling and Global Optimization. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2021. Lecture Notes in Computer Science(), vol 12942. Springer, Cham. https://doi.org/10.1007/978-3-030-86359-3_31
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DOI: https://doi.org/10.1007/978-3-030-86359-3_31
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