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Evolvable Hardware Challenges: Past, Present and the Path to a Promising Future

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Part of the book series: Emergence, Complexity and Computation ((ECC,volume 28))

Abstract

The ability of the processes in Nature to achieve remarkable examples of complexity, resilience, inventive solutions and beauty is phenomenal. This ability has promoted engineers and scientists to look to Nature for inspiration. Evolvable Hardware (EH) is one such form of inspiration. It is a field of evolutionary computation (EC) that focuses on the embodiment of evolution in a physical media. If EH could achieve even a small step in natural evolution’s achievements, it would be a significant step for hardware designers. Before the field of EH began, EC had already shown artificial evolution to be a highly competitive problem solver. EH thus started off as a new and exciting field with much promise. It seemed only a matter of time before researchers would find ways to convert such techniques into hardware problem solvers and further refine the techniques to achieve systems that were competitive (better) than human designs. However, almost 20 years on, it appears that problems solved by EH are only of the size and complexity of that achievable in EC 20 years ago and seldom compete with traditional designs. A critical review of the field is presented. Whilst highlighting some of the successes, it also considers why the field is far from reaching these goals. The chapter further redefines the field and speculates where the field should go in the next 10 years.

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Notes

  1. 1.

    This chapter is a revised and updated version of: Pauline C. Haddow, Andy M. Tyrrell (2011) Challenges of evolvable hardware: past, present and the path to a promising future. Genetic Programming and Evolvable Machines 12(3):183–215.

  2. 2.

    “creating” refers to the creation of a physical entity.

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Authors and Affiliations

  1. CRAB Lab, Department of Computing and Information Science, Norwegian University of Science and Technology, Trondheim, Norway

    Pauline C. Haddow

  2. Intelligent Systems & Nano-Science Group, Department of Electronic Engineering, University of York, York, UK

    Andy M. Tyrrell

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  1. Pauline C. Haddow
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  1. Department of Computer Science, University of York, York, United Kingdom

    Susan Stepney

  2. Unconventional Computing Centre, University of the West of England, Bristol, United Kingdom

    Andrew Adamatzky

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Haddow, P.C., Tyrrell, A.M. (2018). Evolvable Hardware Challenges: Past, Present and the Path to a Promising Future. In: Stepney, S., Adamatzky, A. (eds) Inspired by Nature. Emergence, Complexity and Computation, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-67997-6_1

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