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European Conference on Genetic Programming

EuroGP 2008: Genetic Programming pp 86–97Cite as

Partitioned Incremental Evolution of Hardware Using Genetic Programming

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4971))

Abstract

In an effort to enable evolutionary computation techniques to discover solutions for large and complex hardware systems, techniques have been devised to break the initial problem down into smaller sub-tasks. In particular, a decomposition approach has been described that is based on partitioning of the circuit test vectors, but it has its limitations. In an effort to address this, we have combined the partitioning method with an incrementally evolving genetic programming approach. The result, referred to as Partitioned Incremental Evolution of HARDware (PIE-HARD), exhibits solution-finding performance that is significantly better than that of other approaches.

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Authors and Affiliations

  1. Dept. of Computer Science, University of Liverpool, Liverpool, L69 3BX, United Kingdom

    David Jackson

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  1. David Jackson
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Editor information

Michael O’Neill Leonardo Vanneschi Steven Gustafson Anna Isabel Esparcia Alcázar Ivanoe De Falco Antonio Della Cioppa Ernesto Tarantino

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© 2008 Springer-Verlag Berlin Heidelberg

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Jackson, D. (2008). Partitioned Incremental Evolution of Hardware Using Genetic Programming. In: O’Neill, M., et al. Genetic Programming. EuroGP 2008. Lecture Notes in Computer Science, vol 4971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78671-9_8

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  • DOI: https://doi.org/10.1007/978-3-540-78671-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78670-2

  • Online ISBN: 978-3-540-78671-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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