Evolution strategies for the optimization of microdevices

Single- and multicriteria evolution strategies are implemented to optimize micro-fluidic devices, namely the shape of a microchannel used for bioanalysls and the mixing rate in a micromixer used for medical applications. First, multimembered evolution strategies employing mutative step size adaptati...

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Bibliographic Details
Main Authors: Muller, S.D., Sbalzarini, I.F., Walther, J.H., Koumoutsakos, P.D.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Biomedical equipment
Design optimization
Equations
Genetic mutations
Gradient methods
Medical services
Microchannel
Pareto optimization
Shape
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Summary:Single- and multicriteria evolution strategies are implemented to optimize micro-fluidic devices, namely the shape of a microchannel used for bioanalysls and the mixing rate in a micromixer used for medical applications. First, multimembered evolution strategies employing mutative step size adaptation are combined with the Strength Pareto approach. In order to support targetting, an extension of the Strength Pareto evolutionary algorithm is proposed. Applied on the optimization of the microchannel, these algorithms suggest a novel design with improved properties over traditional designs. A comparison with a gradient method is presented. Second, an evolution strategy with derandomized self-adaptation of the mutation distribution is used to optimize the micromixer. The results agree well with dynamical systems theory.
DOI:10.1109/CEC.2001.934405