Abstract
We implement multiobjective evolutionary algorithms for the optimization of micro-fluidic devices. In this work we discuss the development of multimembered evolution strategies with step size adaptation in conjunction with the Strength Pareto Approach. In order to support targeting, an extension of the Strength Pareto Evolutionary Algorithm is proposed. The results suggest a novel design for micro-fluidic devices used for DNA sequencing.
Cite
CITATION STYLE
Sbalzarini, I. F., Müller, S., & Koumoutsakos, P. (2001). Microchannel optimization using multiobjective evolution strategies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1993, pp. 516–530). Springer Verlag. https://doi.org/10.1007/3-540-44719-9_36
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