Microfluidic systems, which constitute a miniaturization of a conventional laboratory to the dimensions of a chip, are expected to become the key support for a revolution in the world of biology and chemistry. This article proposes a parallel algorithm that uses DNA and such a distributed microfluidic device to generate scheduling grids in polynomial time. Rather than taking a brute force approach, the algorithm presented here uses concatenation and separation operations to gradually build the DNA strings that represent a Multiprocessor Task scheduling problem grids. The microfluidic device used makes for an autonomous system, also enabling it to solve the problem without the need of external control. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
García-Arnau, M., Manrique, D., & Rodríguez-Patón, A. (2007). A parallel DNA algorithm using a microfluidic device to build scheduling grids. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4527 LNCS, pp. 193–202). Springer Verlag. https://doi.org/10.1007/978-3-540-73053-8_19
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