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International Conference on Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming

CPAIOR 2005: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems pp 16Cite as

Embedded Systems Design: Optimization Challenges

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3524))

Abstract

Embedded systems are everywhere: from alarm clocks to PDAs, from mobile phones to cars, almost all the devices we use are controlled by embedded systems. Over 99% of the microprocessors produced today are used in embedded systems, and recently the number of embedded systems in use has become larger than the number of humans on the planet.

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Author information

Authors and Affiliations

  1. Computer and Information Science Department, Linköping University, Sweden

    Paul Pop

Authors
  1. Paul Pop
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Editor information

Editors and Affiliations

  1. Faculty of Mathematics and Physics, Charles University in Prague, Malostranské nám. 2/25, 118 00, Praha 1, Czech Republic

    Roman Barták

  2. DEIS, University of Bologna, V.le Risorgimento 2, 40136, Bologna, Italy

    Michela Milano

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© 2005 Springer-Verlag Berlin Heidelberg

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Pop, P. (2005). Embedded Systems Design: Optimization Challenges. In: Barták, R., Milano, M. (eds) Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems. CPAIOR 2005. Lecture Notes in Computer Science, vol 3524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11493853_2

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  • DOI: https://doi.org/10.1007/11493853_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26152-0

  • Online ISBN: 978-3-540-32264-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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