Abstract
Computer simulations of complex natural phenomena become an approach of choice if experimental work is impractical or dangerous. Often, optimization approaches are used in a closed cycle with the simulation to obtain the desired performances. To test and validate such cases an optimization of a coupled thermo-fluid transport in a two dimensional cavity is elaborated. We seek for optimal positions and dimensions of obstacles in the cavity to minimize the heat flux through the domain. One can apply such an approach to maximize the insulation by using minimal amount of insulation material. The governing equations are solved with a meshless numerical method while the optimization is performed with differential evolution. The solution and optimization procedures are designed for execution on parallel computers. Incentive scalability and speed-up are demonstrated on the presented test case.
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We acknowledge the financial support from the Slovenian Research Agency under the programme group P2-0095.
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Depolli, M., Kosec, G., Trobec, R. (2017). Parallel Evolutionary Optimization of Natural Convection Problem. In: Adamatzky, A. (eds) Emergent Computation . Emergence, Complexity and Computation, vol 24. Springer, Cham. https://doi.org/10.1007/978-3-319-46376-6_18
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DOI: https://doi.org/10.1007/978-3-319-46376-6_18
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