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A Parallel DNA Algorithm Using a Microfluidic Device to Build Scheduling Grids

  • Marc García-Arnau
  • Daniel Manrique
  • Alfonso Rodríguez-Patón
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4527)

Abstract

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.

Keywords

Dependency Graph Schedule Grid Inlet Chamber Outlet Chamber Brute Force Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Marc García-Arnau
    • 1
  • Daniel Manrique
    • 1
  • Alfonso Rodríguez-Patón
    • 1
  1. 1.Artificial Intelligence Department, Universidad Politécnica de Madrid, Boadilla del Monte s/n, 28660 MadridSpain

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