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Investigations on random search optimization and its application in process engineering

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons86534

Ziomek,  G.
Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Ziomek, G. (2003). Investigations on random search optimization and its application in process engineering. Master Thesis, University of Technology, Rzeszów.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-9F37-1
Abstract
The work deals with analysis of robusiness of stochastic optimization subrotines based on adaptive random search (ARS) approach. In this work several modifications of LJ method were tested. The ARS method was applied to optimize simulated moving bed and true moving bed chromatographic processes. The results proved the robustness of the method in application in process engineering.