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Genetic Programming: A Parallel Approach

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Book cover Soft-Ware 2002: Computing in an Imperfect World (Soft-Ware 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2311))

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Abstract

In this paper we introduce a parallel master-worker model for genetic programming where the master and each worker have their own equal-sized populations. The workers execute in parallel starting with the same population and are synchronized after a given interval where all worker populations are replaced by a new one. The proposed model will be applied to symbolic regression problems. Test results on two test series are presented.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering and Computer Science, University of Siegen, Hölderlinstr. 3, 57068, Siegen, Germany

    Wolfgang Golubski

Authors
  1. Wolfgang Golubski
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Editor information

Editors and Affiliations

  1. Faculty of Informatics School of Information and Software Engineering, University of Ulster, Jordanstown Campus, BT37 0QB, Newtownabbey, Northern Ireland

    David Bustard , Weiru Liu  & Roy Sterritt ,  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Golubski, W. (2002). Genetic Programming: A Parallel Approach. In: Bustard, D., Liu, W., Sterritt, R. (eds) Soft-Ware 2002: Computing in an Imperfect World. Soft-Ware 2002. Lecture Notes in Computer Science, vol 2311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46019-5_13

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  • DOI: https://doi.org/10.1007/3-540-46019-5_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43481-8

  • Online ISBN: 978-3-540-46019-0

  • eBook Packages: Springer Book Archive

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