Evolution Strategies for the Optimization of Microdevices

AbstractSingleand multicriteria evolution strategies are implemented to optimize micro-fluidic devices, namely the shape of a microchannel used for bioanalysis 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.