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Microchannel Optimization Using Multiobjective Evolution Strategies

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Evolutionary Multi-Criterion Optimization (EMO 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1993))

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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.

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Author information

Authors and Affiliations

  1. Institute of Computational Sciences, ETH Zürich, Switzerland

    Ivo F. Sbalzarini, Sibylle Müller & Petros Koumoutsakos

Authors
  1. Ivo F. Sbalzarini
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  2. Sibylle Müller
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  3. Petros Koumoutsakos
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering Computer Engineering and Networks Laboratory, Swiss Federal Institute of Technology, ETH Zentrum, Gloriastrasse 35, 8092, Zurich, Switzerland

    Eckart Zitzler  & Lothar Thiele  & 

  2. Department of Mechanical Engineering Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology, UP 208 016, Kanpur, India

    Kalyanmoy Deb

  3. Electrical Engineering Department,Computer Science Section Av.Instituto Politecnico Nacional No.2508, CINVESTAV-IPN, Col.San Pedro Zacatenco, 07300, Mexico City, Mexico

    Carlos Artemio Coello Coello

  4. Department of Computer Science, University of Reading, P.O.Box 225, Reading RG6 6AY, Whiteknights, UK

    David Corne

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© 2001 Springer-Verlag Berlin Heidelberg

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Sbalzarini, I.F., Müller, S., Koumoutsakos, P. (2001). Microchannel Optimization Using Multiobjective Evolution Strategies. In: Zitzler, E., Thiele, L., Deb, K., Coello Coello, C.A., Corne, D. (eds) Evolutionary Multi-Criterion Optimization. EMO 2001. Lecture Notes in Computer Science, vol 1993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44719-9_36

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  • DOI: https://doi.org/10.1007/3-540-44719-9_36

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41745-3

  • Online ISBN: 978-3-540-44719-1

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