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Adaptive Computing in Design and Manufacture VI pp 3–12Cite as

The Everyday Engineering of Organizational and Engineering Innovation

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Abstract

This paper discusses how the routine study of the theory and design of genetic algorithms (GAs) has led to a number of unexpected results. Specifically, the paper considers how GA theory and design has led to (1) the design of genetic algorithms that solve hard problems quickly, reliably, and accurately, (2) a system for collaborative innovation, (3) methods for designing organizations more effectively, (4) GAs based on effective clustering in organizations, and (5) an extensible family of facetwise organizational models.

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References

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Authors and Affiliations

  1. Department of General Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801

    David E. Goldberg

Authors
  1. David E. Goldberg
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Editor information

Editors and Affiliations

  1. CEMS, University of the West of England, Coldharbour Lane, Bristol, BS16 1QY, UK

    I. C. Parmee PhD, CEng, MASCE, MEI

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© 2004 Springer-Verlag London

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Goldberg, D.E. (2004). The Everyday Engineering of Organizational and Engineering Innovation. In: Parmee, I.C. (eds) Adaptive Computing in Design and Manufacture VI. Springer, London. https://doi.org/10.1007/978-0-85729-338-1_1

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  • DOI: https://doi.org/10.1007/978-0-85729-338-1_1

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-829-9

  • Online ISBN: 978-0-85729-338-1

  • eBook Packages: Springer Book Archive

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