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Design and Multi-Objective Optimization of Combinational Digital Circuits Using Evolutionary Algorithm with Multi-Layer Chromosomes

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Artificial Intelligence and Soft Computing – ICAISC 2008 (ICAISC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5097))

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Abstract

In the paper an application of evolutionary algorithm with multi-layer chromosomes to the design and multi-objective optimization of combinational digital circuits is presented. The optimization criterions are minimizations of: number of gates, number of transistors in the circuit, and circuit propagation time. Four combinational circuits, chosen from literature, are designed, and optimized using proposed method. Results obtained using this method are compared with results obtained by other methods. The results obtained using this method are in many cases better than those obtained using other methods.

This work was supported by the Polish State Committee for Scientific Research (KBN) under Grant No. 3 T11B 025 29.

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Authors and Affiliations

  1. Department of Electronics and Computer Science, Koszalin University of Technology, ul.niadeckich 2, 75-453, Koszalin, Poland

    Adam Słowik & Michał Białko

Authors
  1. Adam Słowik
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  2. Michał Białko
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Leszek Rutkowski Ryszard Tadeusiewicz Lotfi A. Zadeh Jacek M. Zurada

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Słowik, A., Białko, M. (2008). Design and Multi-Objective Optimization of Combinational Digital Circuits Using Evolutionary Algorithm with Multi-Layer Chromosomes. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_47

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  • DOI: https://doi.org/10.1007/978-3-540-69731-2_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69572-1

  • Online ISBN: 978-3-540-69731-2

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